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» Requirements Processes: An Experience Report
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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 6 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
COGSCI
2004
75views more  COGSCI 2004»
15 years 6 months ago
Object recognition and Random Image Structure Evolution
We present a technique called Random Image Structure Evolution (RISE) for use in experimental investigations of high-level visual perception. Potential applications of RISE includ...
Javid Sadr, Pawan Sinha
AAAI
2012
13 years 9 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
CVPR
2005
IEEE
1158views Computer Vision» more  CVPR 2005»
16 years 8 months ago
Flattening Curved Documents in Images
Compared to scanned images, document pictures captured by camera can suffer from distortions due to perspective and page warping. It is necessary to restore a frontal planar view ...
Jian Liang, Daniel DeMenthon, David S. Doermann
177
Voted
ICPR
2006
IEEE
16 years 7 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh