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» Denoising using local projective subspace methods
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PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 7 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
ICIP
2007
IEEE
14 years 10 months ago
An Adaptive Multiresolution Approach to Fingerprint Recognition
We propose an adaptive multiresolution (MR) approach to the classification of fingerprint images. The system adds MR decomposition in front of a generic classifier consisting of f...
Aliaksei Sandryhaila, Amina Chebira, Charles Jacks...
ICPR
2006
IEEE
14 years 9 months ago
Matching Interest Points Using Affine Invariant Concentric Circles
We present a new method to perform reliable matching between different images. This method finds complete region correspondences between concentric circles and the corresponding p...
Han-Pang Chiu, Tomás Lozano-Pérez
EMMCVPR
2011
Springer
12 years 8 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady