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Publication search results
found 49 matches
- 2024
- Theyab A. Alotaibi, Ishtiaq Rasool Khan, Farid Bourennani:
Quality Assessment of Tone-Mapped Images Using Fundamental Color and Structural Features. IEEE Trans. Multim. 26: 1244-1254 (2024) - 2023
- Edouard Machery, Christopher Y. Olivola, Hyundeuk Cheon, Irma T. Kurniawan, Carlos Mauro, Noel Struchiner, Harry Susianto:
Is Identity Essentialism a Fundamental Feature of Human Cognition? Cogn. Sci. 47(5) (2023) - 2022
- Ioannis P. Chochliouros, Daniele Porcu, Sonia Castro, Borja Otura, Paula Encinar, Antonello Corsi, Irina Ciornei, Rita Santiago, Angelos Antonopoulos, Nicola Cadenelli, Nicola di Pietro, August Betzler, Inmaculada Prieto, Fabrizio Batista, Elisavet Grigoriou, Georgios Ellinas, Lenos Hadjidemetriou, Dimitrios Brothimas, Ralitsa Rumenova, Athanasios Bachoumis, Anastasia S. Spiliopoulou, Michalis Rantopoulos, Christina Lessi, Dimitrios N. Arvanitozisis, Pavlos I. Lazaridis:
Fundamental Features of the Smart5Grid Platform Towards Realizing 5G Implementation. AIAI Workshops 2022: 134-147 - Binghui Peng, Andrej Risteski:
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions. NeurIPS 2022 - Binghui Peng, Andrej Risteski:
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions. CoRR abs/2203.14383 (2022) - 2021
- Masoumeh Rezaei, Mehdi Rezaeian, Vali Derhami, Hossein Khorshidi:
Local feature descriptor using discrete first and second fundamental forms. J. Electronic Imaging 30(2): 023008 (2021) - Gary Yeung, Ruchao Fan, Abeer Alwan:
Fundamental frequency feature warping for frequency normalization and data augmentation in child automatic speech recognition. Speech Commun. 135: 1-10 (2021) - Xiangxiang Wei, Dechang Yang, Xiaowei Wang, Bin Wang, Jie Gao, Kewen Wei:
Faulty Feeder Detection Based on Fundamental Component Shift and Multiple-Transient-Feature Fusion in Distribution Networks. IEEE Trans. Smart Grid 12(2): 1699-1711 (2021) - Gary Yeung, Ruchao Fan, Abeer Alwan:
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition. ICASSP 2021: 6993-6997 - Gary Yeung, Ruchao Fan, Abeer Alwan:
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition. CoRR abs/2102.09106 (2021) - Elvis Dohmatob:
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes. CoRR abs/2106.02630 (2021) - 2020
- Artur Kobus, Jan L. Cieslinski:
Geometric and Differential Features of Scators as Induced by Fundamental Embedding. Symmetry 12(11): 1880 (2020) - Shiang-Chih Hua, Jian-Jiun Ding, Chih-Hao Wang, Liang-Yu Ouyang, Jin-Yu Huang:
Learning and Feature Extraction Based Fundamental Frequency Determination Algorithm in Very Low SNR Scenario. ISCAS 2020: 1-5 - 2019
- Dengsheng Zhang:
Fundamentals of Image Data Mining - Analysis, Features, Classification and Retrieval. Texts in Computer Science, Springer 2019, ISBN 978-3-030-17988-5, pp. 3-304 - Sangita Das, Saurabh Pal, Madhuchhanda Mitra:
Supervised model for Cochleagram feature based fundamental heart sound identification. Biomed. Signal Process. Control. 52: 32-40 (2019) - Amina Benkessirat, Nadjia Benblidia:
Fundamentals of Feature Selection: An Overview and Comparison. AICCSA 2019: 1-6 - Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - Jakob Abeßer, Meinard Müller:
Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features. ICASSP 2019: 486-490 - Mohammad Eshghi, Kou Tanaka, Kazuhiro Kobayashi, Hirokazu Kameoka, Tomoki Toda:
An Investigation of Features for Fundamental Frequency Pattern Prediction in Electrolaryngeal Speech Enhancement. SSW 2019: 251-256 - 2018
- Monisankha Pal, Dipjyoti Paul, Goutam Saha:
Synthetic speech detection using fundamental frequency variation and spectral features. Comput. Speech Lang. 48: 31-50 (2018) - François Lemarchand:
Fundamental visual features for aesthetic classification of photographs across datasets. Pattern Recognit. Lett. 112: 9-17 (2018) - Feihu Zhang, Benjamin W. Wah:
Fundamental Principles on Learning New Features for Effective Dense Matching. IEEE Trans. Image Process. 27(2): 822-836 (2018) - Alberto Bocca, Yukai Chen, Alberto Macii, Massimo Poncino:
Fundamental Feature Extraction of the Battery Charge Phase from Product Data. ISCAS 2018: 1-4 - 2017
- Shahab Pourtalebi:
System-level feature-based modeling of cyber-physical systems: A theoretical framework and methodological fundamentals. Delft University of Technology, Netherlands, 2017 - Andrij Peleschyshyn, Ivanna Holub, Zoriana Holub:
Formal model and key features of an online community fundamental for detecting informational and psychological manipulation. CSIT (1) 2017: 101-104 - 2016
- Liqiang Wang, Zhen Liu, Zhonghua Zhang:
Efficient image features selection and weighting for fundamental matrix estimation. IET Comput. Vis. 10(1): 67-78 (2016) - Mahsa Sadat Elyasi Langarani, Jan P. H. van Santen:
Automatic, model-based detection of pause-less phrase boundaries from fundamental frequency and duration features. SSW 2016: 1-6 - 2015
- Christian Sengstock:
Geographic feature mining: framework and fundamental tasks for geographic knowledge discovery from user-generated data. University of Heidelberg, Germany, 2015, pp. 1-195 - Fan Zhou, Can Zhong, Qi Zheng:
Method for fundamental matrix estimation combined with feature lines. Neurocomputing 160: 300-307 (2015) - 2014
- John Slaney:
Set-theoretic duality: A fundamental feature of combinatorial optimisation. ECAI 2014: 843-848
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