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PAMI
2011
14 years 9 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
CVPR
2003
IEEE
16 years 4 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CVPR
2003
IEEE
16 years 4 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
140
Voted
ICCV
2007
IEEE
16 years 4 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
135
Voted
ICPR
2008
IEEE
16 years 3 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...