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ICCV
2011
IEEE
14 years 7 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu
JMLR
2012
13 years 9 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
CVPR
2012
IEEE
13 years 9 months ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
ICCV
2009
IEEE
17 years 2 days ago
Multiscale Symmetric Part Detection and Grouping
Skeletonization algorithms typically decompose an object’s silhouette into a set of symmetric parts, offering a powerful representation for shape categorization. However, havi...
Alex Levinshtein, Sven Dickinson, Cristian Sminchi...
ICCV
2009
IEEE
17 years 2 days ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker