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Kei Kobayashi
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2020 – today
- 2023
- [c16]Kei Kobayashi
, Kazuma Nagata
:
Calligraphy Experience System That Conveys the Relationship Between Kanji and Nature. SIGGRAPH Immersive Pavilion 2023: 4:1-4:2 - 2022
- [j10]Kei Kobayashi
, Junichi Hoshino:
Instruction pictograms for experience-based displays and their use cases. Entertain. Comput. 43: 100503 (2022) - 2021
- [j9]Qijun Tong, Kei Kobayashi
:
Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions. Entropy 23(3): 302 (2021) - [c15]Kei Kobayashi
, Junichi Hoshino:
Instruction Pictograms for Interactive Entertainment. ICEC 2021: 209-222 - [c14]Kei Kobayashi
, Kazuma Nagata, Junichi Hoshino:
Table-Based Interactive System for Augmenting Japanese Food Culture Experience. VRST 2021: 98:1-98:3 - [i5]Daisuke Takehara, Kei Kobayashi:
Enhancing Hierarchical Information by Using Metric Cones for Graph Embedding. CoRR abs/2102.08014 (2021) - 2020
- [j8]Kei Kobayashi
, Henry P. Wynn
:
Empirical geodesic graphs and CAT(k) metrics for data analysis. Stat. Comput. 30(1): 1-18 (2020) - [c13]Ryo Kamoi, Kei Kobayashi:
Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions. SafeAI@AAAI 2020: 113-116 - [c12]Kei Kobayashi
, Junichi Hoshino:
Augmented Reality Media for Experiencing Worship Culture in Japanese Shrines. ICEC 2020: 270-276 - [i4]Ryo Kamoi, Kei Kobayashi:
Why is the Mahalanobis Distance Effective for Anomaly Detection? CoRR abs/2003.00402 (2020) - [i3]Sixian Jin, Kei Kobayashi:
Strong approximation of time-changed stochastic differential equations involving drifts with random and non-random integrators. CoRR abs/2006.10926 (2020)
2010 – 2019
- 2019
- [c11]Yusuke Hioka, Kei Kobayashi, Kenta Niwa:
Improving speech intelligibility using microphones on behind the ear hearing aids. MMSP 2019: 1-4 - [c10]Kei Kobayashi
, Kazuma Nagata, Soh Masuko
, Junichi Hoshino:
FUROSHIKI: Augmented Reality Media That Conveys Japanese Traditional Culture. VRCAI 2019: 27:1-27:5 - [i2]Ryo Kamoi, Kei Kobayashi:
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice. CoRR abs/1911.06515 (2019) - 2018
- [i1]Tatsuhiro Aoshima, Kei Kobayashi, Mihoko Minami:
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification. CoRR abs/1802.03938 (2018) - 2017
- [c9]Kei Kobayashi
, Junichi Hoshino:
Augmented Reality Media for Cultural Experience in Shrines. ICEC 2017: 375-378 - 2016
- [j7]Kei Kobayashi, Yosuke Totani, Keisuke Utsu
, Hiroshi Ishii
:
Achieving secure communication over MANET using secret sharing schemes. J. Supercomput. 72(3): 1215-1225 (2016) - [j6]Kei Kobayashi, Yosuke Totani, Keisuke Utsu
, Hiroshi Ishii
:
A proposal on location data supplementing information transfer method over MANET. J. Supercomput. 72(3): 1226-1236 (2016) - [j5]Naoya Imaizumi, Kei Kobayashi, Keisuke Utsu
, Hiroshi Ishii
:
A study on effective flooding over MANET based on exchange of neighbor information. J. Supercomput. 72(3): 1237-1245 (2016) - [j4]Yosuke Totani, Kei Kobayashi, Keisuke Utsu
, Hiroshi Ishii
:
An efficient broadcast-based information transfer method based on location data over MANET. J. Supercomput. 72(4): 1422-1430 (2016) - [c8]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. AAAI 2016: 1659-1665 - 2015
- [j3]Nobuo Satoh, Shigetaka Katori, Kei Kobayashi, Kazumi Matsushige, Hirofumi Yamada:
Surface Potential Measurement of Organic Multi-layered Films on Electrodes by Kelvin Probe Force Microscopy. IEICE Trans. Electron. 98-C(2): 91-97 (2015) - [c7]Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Localized Centering: Reducing Hubness in Large-Sample Data. AAAI 2015: 2645-2651 - [c6]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu:
Reducing Hubness: A Cause of Vulnerability in Recommender Systems. SIGIR 2015: 815-818 - [c5]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu
, Milos Radovanovic
:
Reducing Hubness for Kernel Regression. SISAP 2015: 339-344 - 2013
- [c4]Kei Kobayashi, Henry P. Wynn
:
Asymptotically Efficient Estimators for Algebraic Statistical Manifolds. GSI 2013: 721-728 - [c3]Keiichi Yasu, Takayuki Arai, Kei Kobayashi, Mitsuko Shindo:
Weighting of acoustic cues shifts to frication duration in identification of fricatives/affricates when auditory properties are degraded due to aging. INTERSPEECH 2013: 3152-3156 - 2010
- [c2]Naoto Horibe, Kei Kobayashi, Martin M. Hanczyc, Takashi Ikegami:
Mode Switching and Collective Behavior in Chemical Oil Droplets. ALIFE 2010: 223
2000 – 2009
- 2006
- [j2]Kei Kobayashi, Fumiyasu Komaki
:
Information criteria for support vector machines. IEEE Trans. Neural Networks 17(3): 571-577 (2006) - 2002
- [j1]Kei Kobayashi, Kokichi Sugihara:
Crystal Voronoi diagram and its applications. Future Gener. Comput. Syst. 18(5): 681-692 (2002) - 2001
- [c1]Kei Kobayashi, Kokichi Sugihara:
Crystal Voronoi Diagram and Its Applications to Collision-Free Paths. International Conference on Computational Science (1) 2001: 738-747
Coauthor Index
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