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CVPR
2012
IEEE
11 years 10 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan
STOC
1993
ACM
117views Algorithms» more  STOC 1993»
13 years 11 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
CVPR
2012
IEEE
11 years 10 months ago
Example-based cross-modal denoising
Widespread current cameras are part of multisensory systems with an integrated computer (smartphones). Computer vision thus starts evolving to cross-modal sensing, where vision an...
Dana Segev, Yoav Y. Schechner, Michael Elad
BMCBI
2010
107views more  BMCBI 2010»
13 years 7 months ago
Conditional random pattern model for copy number aberration detection
Background: DNA copy number aberration (CNA) is very important in the pathogenesis of tumors and other diseases. For example, CNAs may result in suppression of anti-oncogenes and ...
Fuhai Li, Xiaobo Zhou, Wanting Huang, Chung-Che Ch...
IJCAI
1993
13 years 9 months ago
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
Kamal M. Ali, Michael J. Pazzani