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TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICPR
2008
IEEE
14 years 3 months ago
An improvement on learning with local and global consistency
A modified version for semi-supervised learning algorithm with local and global consistency was proposed in this paper. The new method adds the label information, and adopts the g...
Jie Gui, De-Shuang Huang, Zhuhong You
ETS
2007
IEEE
110views Hardware» more  ETS 2007»
14 years 3 months ago
Analyzing Volume Diagnosis Results with Statistical Learning for Yield Improvement
— A novel statistical learning algorithm is proposed to accurately analyze volume diagnosis results. This algorithm effectively overcomes the inherent ambiguities in logic diagno...
Huaxing Tang, Manish Sharma, Janusz Rajski, Martin...
ICCV
2003
IEEE
14 years 11 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
CVPR
2009
IEEE
14 years 3 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou