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» Computing with abstract matrix structures
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140
Voted
CVPR
2005
IEEE
16 years 5 months ago
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...
David Tolliver, Gary L. Miller, Robert T. Collins
148
Voted
CVPR
2005
IEEE
16 years 5 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
141
Voted
CVPR
2008
IEEE
16 years 5 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
130
Voted
ICPR
2008
IEEE
16 years 4 months ago
Hand motion expertise analysis using dynamic hierarchical activity modeling and isomap
Several domains such as sports, surgery, dance etc. are characterized by a significant influence of expertise of the performer on the motion pattern and style. The retrieval of ex...
Kanav Kahol, Mithra Vankipuram
120
Voted
RECOMB
2006
Springer
16 years 3 months ago
CONTRAlign: Discriminative Training for Protein Sequence Alignment
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...
Chuong B. Do, Samuel S. Gross, Serafim Batzoglou