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» Learning Video Processing by Example
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ICML
2007
IEEE
14 years 10 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
ICMCS
2009
IEEE
132views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
Effrosini Kokiopoulou, Pascal Frossard
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
PAMI
2012
12 years 11 days ago
Tracking-Learning-Detection
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas
CVPR
2009
IEEE
15 years 5 months ago
Variational Layered Dynamic Textures
A dynamic texture is a generative model for video that treats the video as a sample from spatio-temporal stochastic process. One problem associated with the dynamic texture is t...
Antoni B. Chan, Nuno Vasconcelos