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» On the design of robust classifiers for computer vision
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AVSS
2009
IEEE
13 years 8 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
ICPR
2002
IEEE
14 years 8 months ago
A Neural Network Classifier for Occluded Images
This paper proposes a neural network classifier which can automatically detect the occluded regions in the given image and replace that regions with the estimated values. An auto-...
Takio Kurita, Takashi Takahashi, Yukifumi Ikeda
ICPR
2004
IEEE
14 years 8 months ago
Nearest Neighbor Ensemble
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...
Bojun Yan, Carlotta Domeniconi
ICPR
2004
IEEE
14 years 8 months ago
Analysis of Rotational Robustness of Hand Detection with a Viola-Jones Detector
The research described in this paper analyzes the in-plane rotational robustness of the Viola-Jones object detection method when used for hand appearance detection. We determine t...
Mathias Kölsch, Matthew Turk
CVPR
2005
IEEE
14 years 9 months ago
Mercer Kernels for Object Recognition with Local Features
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
Siwei Lyu