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» Invariances in kernel methods: From samples to objects
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CVPR
2008
IEEE
14 years 9 months ago
Combining brain computer interfaces with vision for object categorization
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan
CVPR
2010
IEEE
14 years 1 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan
ICCV
1999
IEEE
14 years 9 months ago
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
EMMCVPR
2005
Springer
14 years 1 months ago
One-Shot Integral Invariant Shape Priors for Variational Segmentation
Abstract. We match shapes, even under severe deformations, via a smooth reparametrization of their integral invariant signatures. These robust signatures and correspondences are th...
Siddharth Manay, Daniel Cremers, Anthony J. Yezzi,...
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang