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» Learning large margin classifiers locally and globally
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CVPR
2008
IEEE
14 years 9 months ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...
ICIAP
2007
ACM
14 years 7 months ago
Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces
In this paper, we address the relatively unexplored problem of classifying texture surfaces undergoing significant levels of non-rigid deformation. State-of-the-art texture classi...
Roman Filipovych, Eraldo Ribeiro
NPL
2006
130views more  NPL 2006»
13 years 7 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
CVPR
2008
IEEE
13 years 9 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
ECCV
2006
Springer
14 years 9 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik