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Seungjin Choi
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Journal Articles
- 2024
- [j66]Tong Min Kim, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, In-Young Choi, Taehoon Ko, Seungjin Choi:
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages. Comput. Biol. Medicine 180: 108950 (2024) - 2023
- [j65]Jungtaek Kim
, Seungjin Choi
:
BayesO: A Bayesian optimization framework in Python. J. Open Source Softw. 8(90): 5320 (2023) - 2022
- [j64]Yoonho Lee
, Wonjae Kim
, Wonpyo Park
, Seungjin Choi
:
Discrete Infomax Codes for Supervised Representation Learning. Entropy 24(4): 501 (2022) - 2021
- [j63]Jungtaek Kim
, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian optimization with approximate set kernels. Mach. Learn. 110(5): 857-879 (2021) - 2020
- [j62]Fengkai Ke
, Seungjin Choi
, Young Ho Kang
, Keun-Ah Cheon
, Sang Wan Lee
:
Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access 8: 153341-153352 (2020) - 2019
- [j61]Seungjin Choi, Seong-Joon Shim, Young-Hwan You
, Jaesang Cha, Hyoung-Kyu Song
:
Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access 7: 60389-60398 (2019) - [j60]Jiwan Seo
, Karam Yoo, Seungjin Choi, Yura Alex Kim, Sangyong Han:
The latent learning model to derive semantic relations of words from unstructured text data in social media. Multim. Tools Appl. 78(20): 28649-28663 (2019) - 2018
- [j59]Jong-Kwang Kim, Seungjin Choi, Young-Hwan You, Hyoung-Kyu Song:
Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM. IEICE Trans. Commun. 101-B(12): 2445-2452 (2018) - [j58]Jiwan Seo
, Seungjin Choi, Yura Alex Kim, Karam Yoo, Sangyong Han:
Word embedding-based relation modeling in a heterogeneous information network. Multim. Tools Appl. 77(14): 18529-18543 (2018) - [j57]Saehoon Kim, Seungjin Choi:
Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. 25(3): 432-436 (2018) - 2017
- [j56]Seungjin Choi
, Jiwan Seo
, Mucheol Kim, Sunghyun Kang, Sangyong Han:
Chrological Big data Curation: A Study on the Enhanced Information Retrieval System. IEEE Access 5: 11269-11277 (2017) - [j55]Jong-Kwang Kim, Seungjin Choi, Jae-Hyun Ro, Hyoung-Kyu Song:
Adaptive K-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(10): 2207-2211 (2017) - [j54]Seungjin Choi, Jong-Kwang Kim, Hyoung-Kyu Song:
Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2539-2542 (2017) - 2016
- [j53]Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han:
A robust ensemble-based trust and reputation system against different types of intruder attacks. Int. J. Comput. Math. 93(2): 308-324 (2016) - [j52]Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi:
Prediction and Predictability for Search Query Acceleration. ACM Trans. Web 10(3): 19:1-19:28 (2016) - 2015
- [j51]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized discriminant embedding for visual descriptor learning. Neurocomputing 149: 1048-1057 (2015) - [j50]Marwan Hassani
, Yunsu Kim, Seungjin Choi, Thomas Seidl
:
Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. 45(3): 319-335 (2015) - 2014
- [j49]Yongsoo Kim
, Seungmin Han, Seungjin Choi, Daehee Hwang:
Inference of dynamic networks using time-course data. Briefings Bioinform. 15(2): 212-228 (2014) - [j48]Yongsoo Kim
, Jin-Hyeok Jang, Seungjin Choi, Daehee Hwang:
TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information. Bioinform. 30(17): 453-460 (2014) - [j47]Hyohyeong Kang
, Seungjin Choi:
Bayesian common spatial patterns for multi-subject EEG classification. Neural Networks 57: 39-50 (2014) - [j46]Kye-Hyeon Kim, Seungjin Choi:
Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recognit. Lett. 45: 17-25 (2014) - [j45]Yunjun Nam
, Bonkon Koo, Andrzej Cichocki
, Seungjin Choi:
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. 61(2): 453-462 (2014) - 2013
- [j44]Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han:
The Method of Personalized Recommendation with Ensemble Combination. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4(4): 108-121 (2013) - [j43]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Parameter Learning for Alpha Integration. Neural Comput. 25(6): 1585-1604 (2013) - [j42]Sunho Park, Seungjin Choi:
Max-margin embedding for multi-label learning. Pattern Recognit. Lett. 34(3): 292-298 (2013) - [j41]Yong-Deok Kim, Seungjin Choi:
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. 20(3): 261-264 (2013) - 2012
- [j40]Yunjun Nam
, Qibin Zhao, Andrzej Cichocki
, Seungjin Choi:
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. 59(1): 290-299 (2012) - 2011
- [j39]Yongsoo Kim
, Taek-Kyun Kim, Yungu Kim, Jiho Yoo
, Sungyong You
, Inyoul Y. Lee, George Carlson, Leroy Hood, Seungjin Choi, Daehee Hwang:
Principal network analysis: identification of subnetworks representing major dynamics using gene expression data. Bioinform. 27(3): 391-398 (2011) - [j38]Minje Kim, Jiho Yoo
, Kyeongok Kang, Seungjin Choi:
Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. IEEE J. Sel. Top. Signal Process. 5(6): 1192-1204 (2011) - [j37]Shounan An, Jiho Yoo
, Seungjin Choi:
Manifold-respecting discriminant nonnegative matrix factorization. Pattern Recognit. Lett. 32(6): 832-837 (2011) - [j36]Jong Kyoung Kim
, Seungjin Choi:
Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1309-1317 (2011) - 2010
- [j35]Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010) - [j34]Jiho Yoo
, Seungjin Choi:
Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds. Inf. Process. Manag. 46(5): 559-570 (2010) - [j33]Jiho Yoo, Seungjin Choi:
Nonnegative Matrix Factorization with Orthogonality Constraints. J. Comput. Sci. Eng. 4(2): 97-109 (2010) - [j32]Hyekyoung Lee, Jiho Yoo
, Seungjin Choi:
Semi-Supervised Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 17(1): 4-7 (2010) - 2009
- [j31]Hyekyoung Lee, Andrzej Cichocki
, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009) - [j30]Jong Kyoung Kim
, Seungjin Choi:
Clustering with r-regular graphs. Pattern Recognit. 42(9): 2020-2028 (2009) - [j29]Seunghak Lee, Seungjin Choi:
Landmark MDS ensemble. Pattern Recognit. 42(9): 2045-2053 (2009) - [j28]Hyohyeong Kang, Yunjun Nam
, Seungjin Choi:
Composite Common Spatial Pattern for Subject-to-Subject Transfer. IEEE Signal Process. Lett. 16(8): 683-686 (2009) - [j27]Sangki Kim, Gunhyuk Park, Sunghoon Yim, Seungmoon Choi
, Seungjin Choi:
Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction. IEEE Trans. Consumer Electron. 55(3): 1169-1177 (2009) - 2008
- [j26]Andrzej Cichocki
, Yoshikazu Washizawa, Tomasz M. Rutkowski
, Hovagim Bakardjian
, Anh Huy Phan
, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [j25]Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi:
Independent arrays or independent time courses for gene expression time series data analysis. Neurocomputing 71(10-12): 2377-2387 (2008) - [j24]Sunho Park, Seungjin Choi:
A constrained sequential EM algorithm for speech enhancement. Neural Networks 21(9): 1401-1409 (2008) - [j23]Andrzej Cichocki
, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - 2007
- [j22]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki
, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - [j21]Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi:
Learning principal directions: Integrated-squared-error minimization. Neurocomputing 70(7-9): 1372-1381 (2007) - [j20]Heeyoul Choi, Seungjin Choi:
A relative trust-region algorithm for independent component analysis. Neurocomputing 70(7-9): 1502-1510 (2007) - [j19]Heeyoul Choi, Seungjin Choi:
Robust kernel Isomap. Pattern Recognit. 40(3): 853-862 (2007) - [j18]Sun Ho Lee, Seungjin Choi:
Two-Dimensional Canonical Correlation Analysis. IEEE Signal Process. Lett. 14(10): 735-738 (2007) - [j17]Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Won Jun Kang, Jong Jin Lee, Seungjin Choi:
A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic H152 O H^{{15}}_{2} O PET. J. VLSI Signal Process. 49(2): 233-241 (2007) - 2006
- [j16]Seungjin Choi:
Differential learning algorithms for decorrelation and independent component analysis. Neural Networks 19(10): 1558-1567 (2006) - [j15]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
:
Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Process. Lett. 24(1): 53-65 (2006) - [j14]Jaehwan Kim, Seungjin Choi:
Semidefinite spectral clustering. Pattern Recognit. 39(11): 2025-2035 (2006) - [j13]Jong Kyoung Kim, Sung Yang Bang, Seungjin Choi:
Sequence-driven features for prediction of subcellular localization of proteins. Pattern Recognit. 39(12): 2301-2311 (2006) - [j12]JaeMo Sung, Sung Yang Bang, Seungjin Choi:
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition. Pattern Recognit. Lett. 27(1): 66-75 (2006) - [j11]Jong Kyoung Kim
, G. P. S. Raghava
, Sung Yang Bang, Seungjin Choi:
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine. Pattern Recognit. Lett. 27(9): 996-1001 (2006) - 2005
- [j10]Yong-Choon Cho, Seungjin Choi:
Nonnegative features of spectro-temporal sounds for classification. Pattern Recognit. Lett. 26(9): 1327-1336 (2005) - [j9]Yongjin Lee, Seungjin Choi:
Maximum within-cluster association. Pattern Recognit. Lett. 26(10): 1412-1422 (2005) - 2004
- [j8]Seungjin Choi:
Sequential EM learning for subspace analysis. Pattern Recognit. Lett. 25(14): 1559-1567 (2004) - 2003
- [j7]Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari:
Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(1): 198-205 (2003) - 2002
- [j6]Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier:
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. Neurocomputing 49(1-4): 299-314 (2002) - [j5]Seungjin Choi, Andrzej Cichocki
, Shun-ichi Amari:
Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002) - [j4]Seungjin Choi, Andrzej Cichocki
, Adel Belouchrani:
Second Order Nonstationary Source Separation. J. VLSI Signal Process. 32(1-2): 93-104 (2002) - 2000
- [j3]Seungjin Choi, Andrzej Cichocki
, Shun-ichi Amari:
Flexible Independent Component Analysis. J. VLSI Signal Process. 26(1-2): 25-38 (2000) - 1999
- [j2]Seungjin Choi, Andrzej Cichocki:
An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment. J. Commun. Networks 1(1): 19-25 (1999) - 1998
- [j1]Seungjin Choi, Ruey-Wen Liu, Andrzej Cichocki
:
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals. Neural Process. Lett. 7(2): 61-68 (1998)
Conference and Workshop Papers
- 2022
- [c146]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. AISTATS 2022: 4359-4375 - [c145]Seungjin Choi, Dohun Kim, Sanghyun Park, Joonki Paik:
Point Cloud-Based Lane Detection for Optimal Local Path Planning. ICEIC 2022: 1-4 - [c144]Jungtaek Kim, Seungjin Choi, Minsu Cho:
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI 2022: 1001-1011 - 2021
- [c143]Seungjin Choi:
Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification. BCI 2021: 1 - 2020
- [c142]Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR 2020: 4083-4090 - [c141]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c140]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. ECML/PKDD (2) 2020: 675-690 - 2019
- [c139]Youngnam Kim, Seungjin Choi:
Forward-Backward Generative Adversarial Networks for Anomaly Detection. ACML 2019: 1142-1155 - [c138]Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS 2019: 758-767 - [c137]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML 2019: 3744-3753 - 2018
- [c136]Saehoon Kim, Jungtaek Kim, Seungjin Choi:
On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI 2018: 3423-3430 - [c135]Jungtaek Kim, Seungjin Choi:
Clustering-Guided Gp-Ucb for Bayesian Optimization. ICASSP 2018: 2461-2465 - [c134]Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi:
Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP 2018: 2686-2690 - [c133]Yoonho Lee, Seungjin Choi:
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. ICML 2018: 2933-2942 - 2017
- [c132]Saehoon Kim, Seungjin Choi:
Binary Embedding with Additive Homogeneous Kernels. AAAI 2017: 2094-2100 - [c131]Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi:
Bayesian inference on random simple graphs with power law degree distributions. ICML 2017: 2004-2013 - 2016
- [c130]Bonkon Koo, Hanh Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi:
Motor imagery detection with wavelet analysis for NIRS-based BCI. BCI 2016: 1-4 - [c129]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CVPR 2016: 5318-5326 - [c128]Suwon Suh, Seungjin Choi:
Two-dimensional correlated topic models. ICASSP 2016: 2559-2563 - [c127]Sojeong Ha, Seungjin Choi:
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. IJCNN 2016: 381-388 - [c126]Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi:
Echo-state conditional variational autoencoder for anomaly detection. IJCNN 2016: 1015-1022 - [c125]Juho Lee, Lancelot F. James, Seungjin Choi:
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. NIPS 2016: 3162-3170 - [c124]Hanh Vu, Bonkon Koo, Seungjin Choi:
Frequency detection for SSVEP-based BCI using deep canonical correlation analysis. SMC 2016: 1983-1987 - 2015
- [c123]Juho Lee, Seungjin Choi:
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. AISTATS 2015 - [c122]Seungjin Choi:
Multi-subject EEG classification: Bayesian nonparametrics and multi-task learning. BCI 2015: 1 - [c121]Bonkon Koo, Seungjin Choi:
SSVEP response on Oculus Rift. BCI 2015: 1-4 - [c120]Saehoon Kim, Seungjin Choi:
Bilinear random projections for locality-sensitive binary codes. CVPR 2015: 1338-1346 - [c119]Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi:
Immersive BCI with SSVEP in VR head-mounted display. EMBC 2015: 1103-1106 - [c118]Juho Lee, Seungjin Choi:
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. NIPS 2015: 1891-1899 - [c117]Huong Thi Pham, Seungjin Choi:
Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation. SMC 2015: 1924-1929 - [c116]Sojeong Ha, Jeong-Min Yun, Seungjin Choi:
Multi-modal Convolutional Neural Networks for Activity Recognition. SMC 2015: 3017-3022 - [c115]Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi:
Near Duplicate Image Discovery on One Billion Images. WACV 2015: 943-950 - [c114]Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi:
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM 2015: 7-16 - 2014
- [c113]Yong-Deok Kim, Seungjin Choi:
Scalable Variational Bayesian Matrix Factorization with Side Information. AISTATS 2014: 493-502 - [c112]Juho Lee, Seungjin Choi:
Incremental Tree-Based Inference with Dependent Normalized Random Measures. AISTATS 2014: 558-566 - [c111]Seungjin Choi:
POSTECH BCIs with machine learning. BCI 2014: 1 - [c110]Bonkon Koo, Yunjun Nam, Seungjin Choi:
A hybrid EOG-P300 BCI with dual monitors. BCI 2014: 1-4 - [c109]Yunjun Nam, Bonkon Koo, Seungjin Choi:
Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand. BCI 2014: 1-4 - [c108]Thu Hoai Tran, Seungjin Choi:
Supervised multi-modal topic model for image annotation. ICASSP 2014: 5979-5983 - [c107]Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi:
Semi-supervised Learning on Bi-relational Graph for Image Annotation. ICPR 2014: 2465-2470 - [c106]Eunsil Gim, Sojeong Ha, Seungjin Choi:
Dependent stotchastic blockmodels. IJCNN 2014: 2965-2972 - [c105]Yoonseop Kang, Taewoong Jang, Seungjin Choi:
Learning features with structure-adapting multi-view exponential family harmoniums. IJCNN 2014: 2978-2985 - [c104]Yong-Deok Kim, Seungjin Choi:
Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys 2014: 201-208 - [c103]Sunho Park, TaeHyun Hwang, Seungjin Choi:
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. SDM 2014: 280-288 - [c102]Yunjun Nam, Bonkon Koo, Seungjin Choi:
Language-related glossokinetic potentials on scalp. SMC 2014: 1063-1067 - 2013
- [c101]Kye-Hyeon Kim, Seungjin Choi:
Walking on Minimax Paths for k-NN Search. AAAI 2013: 518-525 - [c100]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns. BCI 2013: 3 - [c99]Yunjun Nam, Andrzej Cichocki
, Seungjin Choi:
Common spatial patterns for steady-state somatosensory evoked potentials. EMBC 2013: 2255-2258 - [c98]Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi:
Robust part-based face matching with multiple templates. FG 2013: 1-7 - [c97]Saehoon Kim, Seungjin Choi:
Multi-view anchor graph hashing. ICASSP 2013: 3123-3127 - [c96]Sunho Park, Seungjin Choi:
Online multi-label learning with accelerated nonsmooth stochastic gradient descent. ICASSP 2013: 3322-3326 - [c95]Hyohyeong Kang, Seungjin Choi:
Bayesian multi-subject common spatial patterns with Indian Buffet process priors. ICASSP 2013: 3347-3351 - [c94]Hyojung Shin, Seungjin Choi:
Brand-Centric Recommendation with Inter-brand Similarities. ICONIP (2) 2013: 108-115 - [c93]Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, Seungjin Choi:
Stacked Denoising Autoencoders for Face Pose Normalization. ICONIP (3) 2013: 241-248 - [c92]Jiwan Seo, Seungjin Choi, Sangyong Han:
The Method of Trust and Reputation Systems Based on Link Prediction and Clustering. IFIPTM 2013: 223-230 - [c91]Sunho Park, Yong-Deok Kim, Seungjin Choi:
Hierarchical Bayesian Matrix Factorization with Side Information. IJCAI 2013: 1593-1599 - [c90]Marwan Hassani
, Yunsu Kim, Seungjin Choi, Thomas Seidl
:
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops 2013: 342-353 - [c89]Yoonseop Kang, Seungjin Choi:
Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums. ICLR (Workshop Poster) 2013 - [c88]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized Discriminant Embedding for Visual Descriptor Learning. ICLR (Workshop Poster) 2013 - 2012
- [c87]Hyohyeong Kang, Seungjin Choi:
Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes. AAAI 2012: 970-976 - [c86]Saehoon Kim, Yoonseop Kang, Seungjin Choi:
Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) 2012: 538-551 - [c85]Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi:
Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) 2012: 856-869 - [c84]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns with Pitman-Yor process priors. EUSIPCO 2012: 684-688 - [c83]Jiho Yoo
, Seungjin Choi:
Hierarchical variational Bayesian matrix co-factorization. ICASSP 2012: 1901-1904 - [c82]Yoonseop Kang, Saehoon Kim, Seungjin Choi:
Deep Learning to Hash with Multiple Representations. ICDM 2012: 930-935 - [c81]Jeong-Min Yun, Saehoon Kim, Seungjin Choi:
Hashing with Generalized Nyström Approximation. ICDM 2012: 1188-1193 - [c80]Hyohyeong Kang, Seungjin Choi:
Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification. IJCNN 2012: 1-6 - [c79]Sangmin Lee, Yunjun Nam, Seungjin Choi:
Self-labeling for P300 detection. SMC 2012: 268-273 - 2011
- [c78]Shounan An, Jeong-Min Yun, Seungjin Choi:
Multiple kernel nonnegative matrix factorization. ICASSP 2011: 1976-1979 - [c77]Sunho Park, Seungjin Choi:
Geometric programming for aggregation of binary classifiers. ICASSP 2011: 2000-2003 - [c76]Saehoon Kim, Seungjin Choi:
Semi-supervised Discriminant Hashing. ICDM 2011: 1122-1127 - [c75]Jeong-Min Yun, Seungjin Choi:
Nyström Approximations for Scalable Face Recognition: A Comparative Study. ICONIP (2) 2011: 325-334 - [c74]Jiho Yoo, Seungjin Choi:
Matrix Co-Factorization on Compressed Sensing. IJCAI 2011: 1595-1602 - [c73]Jeong-Min Yun, Seungjin Choi:
Patch-based Markov random fields for fast face occlusion recovery. MLSP 2011: 1-6 - [c72]Yoonseop Kang, Seungjin Choi:
Restricted Deep Belief Networks for Multi-view Learning. ECML/PKDD (2) 2011: 130-145 - [c71]Jiho Yoo
, Seungjin Choi:
Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound. ECML/PKDD (3) 2011: 537-552 - [c70]Hyohyeong Kang, Seungjin Choi:
Bayesian Multi-task Learning for Common Spatial Patterns. PRNI 2011: 61-64 - 2010
- [c69]Jiho Yoo
, Minje Kim, Kyeongok Kang, Seungjin Choi:
Nonnegative matrix partial co-factorization for drum source separation. ICASSP 2010: 1942-1945 - [c68]Minje Kim, Jiho Yoo
, Kyeongok Kang, Seungjin Choi:
Blind rhythmic source separation: Nonnegativity and repeatability. ICASSP 2010: 2006-2009 - [c67]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe:
Learning alpha-integration with partially-labeled data. ICASSP 2010: 2058-2061 - [c66]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe:
Alpha-integration of multiple evidence. ICASSP 2010: 2210-2213 - [c65]Sunho Park, Seungjin Choi:
Bayesian Aggregation of Binary Classifiers. ICDM 2010: 393-402 - [c64]Yunjun Nam, Qibin Zhao, Andrzej Cichocki
, Seungjin Choi:
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41 - [c63]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe:
Manifold Alpha-Integration. PRICAI 2010: 397-408 - [c62]Sunho Park, Seungjin Choi:
Hierarchical Gaussian Process Regression. ACML 2010: 95-110 - 2009
- [c61]Jiho Yoo
, Seungjin Choi:
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. ACML 2009: 396-411 - [c60]Yong-Deok Kim, Seungjin Choi:
Weighted nonnegative matrix factorization. ICASSP 2009: 1541-1544 - [c59]Jiho Yoo
, Seungjin Choi:
Probabilistic matrix tri-factorization. ICASSP 2009: 1553-1556 - [c58]Seunghak Lee, Seungjin Choi:
Ensembles of landmark multidimensional scalings. ICASSP 2009: 1649-1652 - [c57]Sunho Park, Jiho Yoo, Seungjin Choi:
Target speech extractionwith learned spectral bases. ICASSP 2009: 1789-1792 - [c56]Yoonseop Kang, Seungjin Choi:
Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. ICONIP (1) 2009: 175-184 - [c55]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe:
Probabilistic Combination of Multiple Evidence. ICONIP (1) 2009: 302-311 - [c54]Jong Kyoung Kim, Seungjin Choi:
Clustering sequence sets for motif discovery. NIPS 2009: 970-978 - [c53]Kye-Hyeon Kim, Seungjin Choi:
Incremental learning to rank with partially-labeled data. WSCD@WSDM 2009: 20-27 - [c52]Hyekyoung Lee, Seungjin Choi:
Group Nonnegative Matrix Factorization for EEG Classification. AISTATS 2009: 320-327 - 2008
- [c51]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Manifold Integration with Markov Random Walks. AAAI 2008: 424-429 - [c50]Yong-Deok Kim, Andrzej Cichocki
, Seungjin Choi:
Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832 - [c49]Sunho Park, Seungjin Choi:
Gaussian processes for source separation. ICASSP 2008: 1909-1912 - [c48]Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe:
Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR 2008: 1-4 - [c47]Jiho Yoo
, Seungjin Choi:
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. IDEAL 2008: 140-147 - [c46]Hyekyoung Lee, Seungjin Choi:
CUR+NMF for learning spectral features from large data matrix. IJCNN 2008: 1592-1597 - [c45]Seungjin Choi:
Algorithms for orthogonal nonnegative matrix factorization. IJCNN 2008: 1828-1832 - [c44]Sunho Park, Seungjin Choi:
Gaussian process regression for voice activity detection and speech enhancement. IJCNN 2008: 2879-2882 - 2007
- [c43]Yong-Deok Kim, Seungjin Choi:
Nonnegative Tucker Decomposition. CVPR 2007 - [c42]Sunho Park, Seungjin Choi:
Source Separation with Gaussian Process Models. ECML 2007: 262-273 - [c41]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) 2007: 271-280 - [c40]Jaehwan Kim, Kwang-Hyun Shim, Seungjin Choi:
Soft Geodesic Kernel K-Means. ICASSP (2) 2007: 429-432 - [c39]Yong-Deok Kim, Seungjin Choi:
A Method of Initialization for Nonnegative Matrix Factorization. ICASSP (2) 2007: 537-540 - [c38]Andrzej Cichocki
, Rafal Zdunek
, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c37]Yong-Deok Kim, Seungjin Choi:
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. ICB 2007: 19-28 - [c36]Kye-Hyeon Kim, Seungjin Choi:
Neighbor search with global geometry: a minimax message passing algorithm. ICML 2007: 401-408 - [c35]Seunghak Lee, Iryoung Jeong, Seungjin Choi:
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. IJCAI 2007: 2523-2529 - [c34]Seungjin Choi:
Wake-Sleep PCA. IJCNN 2007: 2432-2435 - 2006
- [c33]Sookjeong Kim, Seungjin Choi:
Topographic Independent Component Analysis of Gene Expression Time Series Data. ICA 2006: 462-469 - [c32]Minje Kim, Seungjin Choi:
Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. ICA 2006: 617-624 - [c31]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259 - [c30]Jong Kyoung Kim, Seungjin Choi:
Tree-Dependent Components of Gene Expression Data for Clustering. ICANN (2) 2006: 837-846 - [c29]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Iterative Projection Approximation Algorithms for PCA. ICASSP (5) 2006: 845-848 - [c28]Minje Kim
, Seungjin Choi:
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) 2006: 950-954 - [c27]Sunho Park, Seungjin Choi:
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. IJCNN 2006: 1254-1259 - [c26]Heeyoul Choi, Seungjin Choi:
Relative Gradient Learning for Independent Subspace Analysis. IJCNN 2006: 3919-3924 - 2005
- [c25]Hyejin Kim, Seungjin Choi:
Independent Subspaces of Gene Expression Data. Artificial Intelligence and Applications 2005: 485-490 - [c24]JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani:
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. ECML 2005: 377-388 - [c23]Seungjin Choi:
On Variations of Power Iteration. ICANN (2) 2005: 145-150 - [c22]Minje Kim, Seungjin Choi:
On Spectral Basis Selection for Single Channel Polyphonic Music Separation. ICANN (2) 2005: 157-162 - [c21]Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi:
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. ICANN (2) 2005: 709-714 - [c20]Heeyoul Choi, Seungjin Choi:
Relative trust region learning for ICA. ICASSP (5) 2005: 261-264 - [c19]Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi:
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation. ISCAS (4) 2005: 3595-3598 - [c18]Sookjeong Kim, Seungjin Choi:
Independent arrays or independent time courses for gene expression time series. ISCAS (6) 2005: 5886-5889 - 2004
- [c17]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A new way of PCA: integrated-squared-error and EM algorithms. ICASSP (5) 2004: 777-780 - [c16]Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh:
A multiplicative up-propagation algorithm. ICML 2004 - [c15]Yong-Choon Cho, Seungjin Choi:
Learning nonnegative features of spectro-temporal sounds for classification. INTERSPEECH 2004: 989-992 - 2003
- [c14]Seungjin Choi:
Differential ICA. ICANN 2003: 68-75 - [c13]Seungjin Choi:
Differential learning and random walk model. ICASSP (2) 2003: 721-724 - [c12]Hyekyoung Lee, Seungjin Choi:
PCA+HMM+SVM for EEG pattern classification. ISSPA (1) 2003: 541-544 - [c11]Sungcheol Park, Hyekyoung Lee, Seungjin Choi:
ICA+OPCA for artifact-robust classification of EEG data. NNSP 2003: 585-594 - 2002
- [c10]Seungjin Choi:
Adaptive Differential Decorrelation: A Natural Gradient Algorithm. ICANN 2002: 1168-1173 - [c9]Frédéric Berthommier, Seungjin Choi:
Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation. INTERSPEECH 2002: 1825-1828 - 2001
- [c8]Seungjin Choi, Andrzej Cichocki:
Correlation matching approach to source separation in the presence of spatially correlated noise. ISSPA 2001: 272-275 - 2000
- [c7]Seungjin Choi, Oyoung Lee:
Factorial Code Representation of Faces for Recognition. Biologically Motivated Computer Vision 2000: 42-51 - [c6]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Local stability analysis of flexible independent component analysis algorithm. ICASSP 2000: 3426-3429 - [c5]Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier:
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. INTERSPEECH 2000: 83-86 - 1999
- [c4]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP 1999: 1085-1088 - 1997
- [c3]Seungjin Choi, Ruey-Wen Liu:
A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. ESANN 1997 - [c2]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) 1997: 641-644 - [c1]Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki:
Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) 1997: 645-648
Parts in Books or Collections
- 2012
- [p1]Seungjin Choi:
Independent Component Analysis. Handbook of Natural Computing 2012: 435-459
Reference Works
- 2015
- [r4]Seungjin Choi:
Independent Component Analysis. Encyclopedia of Biometrics 2015: 917-924 - [r3]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2015: 1498-1504 - 2009
- [r2]Seungjin Choi:
Independent Component Analysis. Encyclopedia of Biometrics 2009: 735-741 - [r1]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2009: 1298-1303
Informal and Other Publications
- 2022
- [i19]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. CoRR abs/2202.10669 (2022) - 2020
- [i18]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i17]Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR abs/2009.02909 (2020) - [i16]Jungtaek Kim, Minsu Cho, Seungjin Choi:
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR abs/2011.13094 (2020) - 2019
- [i15]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. CoRR abs/1901.08350 (2019) - [i14]Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi:
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR abs/1904.05658 (2019) - [i13]Jungtaek Kim, Seungjin Choi:
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. CoRR abs/1905.07540 (2019) - [i12]Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian Optimization over Sets. CoRR abs/1905.09780 (2019) - [i11]Yoonho Lee, Wonjae Kim, Seungjin Choi:
Discrete Infomax Codes for Meta-Learning. CoRR abs/1905.11656 (2019) - 2018
- [i10]Yoonho Lee, Seungjin Choi:
Meta-Learning with Adaptive Layerwise Metric and Subspace. CoRR abs/1801.05558 (2018) - [i9]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. CoRR abs/1810.00825 (2018) - [i8]Juho Lee, Lancelot F. James, Seungjin Choi, François Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR abs/1810.01778 (2018) - 2017
- [i7]Jungtaek Kim, Saehoon Kim, Seungjin Choi:
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR abs/1710.06219 (2017) - 2016
- [i6]Suwon Suh, Seungjin Choi:
Gaussian Copula Variational Autoencoders for Mixed Data. CoRR abs/1604.04960 (2016) - 2015
- [i5]Juho Lee, Seungjin Choi:
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. CoRR abs/1501.07430 (2015) - [i4]Saehoon Kim, Seungjin Choi:
Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR abs/1506.01092 (2015) - [i3]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CoRR abs/1506.02565 (2015) - [i2]Juho Lee, Seungjin Choi:
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. CoRR abs/1511.05650 (2015) - 2014
- [i1]Sunho Park, TaeHyun Hwang, Seungjin Choi:
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. CoRR abs/1401.4143 (2014)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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