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CVPR
2008
IEEE
16 years 8 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
ICCV
2005
IEEE
16 years 8 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICCV
1999
IEEE
16 years 8 months ago
Capturing Articulated Human Hand Motion: A Divide-and-Conquer Approach
The use of human hand as a natural interface device serves as a motivating force for research in the modeling, analyzing and capturing of the motion of articulated hand. Model-bas...
Ying Wu, Thomas S. Huang
ICCV
1999
IEEE
16 years 8 months ago
Vision in Bad Weather
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer...
Shree K. Nayar, Srinivasa G. Narasimhan
ECCV
2008
Springer
16 years 8 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
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