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» Object Recognition with Hierarchical Kernel Descriptors
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 8 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
UIST
2004
ACM
14 years 1 months ago
Hierarchical parsing and recognition of hand-sketched diagrams
A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the i...
Levent Burak Kara, Thomas F. Stahovich
ICCV
2009
IEEE
13 years 5 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
BMVC
2010
13 years 5 months ago
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla