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ACCV
2006
Springer
14 years 1 months ago
Key Frame-Based Activity Representation Using Antieigenvalues
Many activities may be characterized by a sequence of key frames that are related to important changes in motion rather than dominant characteristics that persist over a long seque...
Naresh P. Cuntoor, Rama Chellappa
IVC
2006
180views more  IVC 2006»
13 years 9 months ago
Active appearance models with occlusion
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
Ralph Gross, Iain Matthews, Simon Baker
TIP
2010
155views more  TIP 2010»
13 years 8 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
12 years 2 days ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
CHI
2006
ACM
14 years 10 months ago
Active CyberCode: a directly controllable 2D code
Many augmented reality (AR) applications which overlay computer graphics on a real image have been developed. One of the limitations of such applications is that a user has to con...
Yuji Ayatsuka, Jun Rekimoto