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Jian-Feng Yao
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Journal Articles
- 2014
- [j8]Qinwen Wang, Jack W. Silverstein
, Jian-Feng Yao:
A note on the CLT of the LSS for sample covariance matrix from a spiked population model. J. Multivar. Anal. 130: 194-207 (2014) - 2013
- [j7]Tomás Crivelli, Bruno Cernuschi-Frías
, Patrick Bouthemy, Jian-Feng Yao:
Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields. SIAM J. Imaging Sci. 6(4): 2484-2520 (2013) - 2011
- [j6]Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías
, Jian-Feng Yao:
Simultaneous Motion Detection and Background Reconstruction with a Conditional Mixed-State Markov Random Field. Int. J. Comput. Vis. 94(3): 295-316 (2011) - 2010
- [j5]Tomás Crivelli, Bruno Cernuschi-Frías
, Patrick Bouthemy, Jian-Feng Yao:
Mixed-state causal modeling for statistical KL-based motion texture tracking. Pattern Recognit. Lett. 31(14): 2286-2294 (2010) - 2006
- [j4]Patrick Bouthemy, C. Hardouin, Gwenaëlle Piriou, Jian-Feng Yao:
Mixed-State Auto-Models and Motion Texture Modeling. J. Math. Imaging Vis. 25(3): 387-402 (2006) - [j3]Gwenaëlle Piriou, Patrick Bouthemy, Jian-Feng Yao:
Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion. IEEE Trans. Image Process. 15(11): 3417-3430 (2006) - 2003
- [j2]Z. D. Bai, Baiqi Miao, Jian-Feng Yao:
Convergence Rates of Spectral Distributions of Large Sample Covariance Matrices. SIAM J. Matrix Anal. Appl. 25(1): 105-127 (2003) - 2001
- [j1]Joseph Rynkiewicz, Marie Cottrell, Morgan Mangeas, Jian-Feng Yao:
Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM. Rev. d'Intelligence Artif. 15(3-4): 317-332 (2001)
Conference and Workshop Papers
- 2009
- [c10]Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías
, Jian-Feng Yao:
Learning mixed-state Markov models for statistical motion texture tracking. ICCV Workshops 2009: 444-451 - [c9]Benjamin Belmudez, Véronique Prinet, Jian-Feng Yao, Patrick Bouthemy, Xavier Descombes:
Conditional Mixed-state Model for Structural Change Analysis from Very High Resolution Optical Images. IGARSS (2) 2009: 988-991 - 2008
- [c8]Tomás Crivelli, Gwenaëlle Piriou, Patrick Bouthemy, Bruno Cernuschi-Frías
, Jian-Feng Yao:
Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field. ECCV (1) 2008: 113-126 - [c7]Tomás Crivelli, Bruno Cernuschi-Frías
, Patrick Bouthemy, Jian-Feng Yao:
Temporal modeling of motion textures with mixed-sates Markov chains. ICASSP 2008: 881-884 - [c6]Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao:
Recognition of Dynamic Video Contents Based on Motion Texture Statistical Models. VISAPP (1) 2008: 283-289 - 2006
- [c5]Alain Lehmann, Patrick Bouthemy, Jian-Feng Yao:
Rank-Test Similarity Measure Between Video Segments for Local Descriptors. Adaptive Multimedia Retrieval 2006: 71-81 - [c4]Tomás Crivelli, Bruno Cernuschi-Frías
, Patrick Bouthemy, Jian-Feng Yao:
Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation. ICIP 2006: 1857-1860 - 2004
- [c3]Gwenaëlle Piriou, Patrick Bouthemy, Jian-Feng Yao:
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models. ECCV (3) 2004: 145-157 - [c2]Gwenaëlle Piriou, Patrick Bouthemy, Jian-Feng Yao:
Learned Probabilistic Image Motion Models for Event Detection in Videos. ICPR (4) 2004: 207-210 - 1997
- [c1]Morgan Mangeas, Marie Cottrell, Jian-Feng Yao:
New criterion of identification in the multilayered perceptron modelling. ESANN 1997
Coauthor Index
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