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» Robust Algorithms for Object Localization
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ICML
2009
IEEE
14 years 9 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
MICCAI
2007
Springer
14 years 9 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 2 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
CVPR
2010
IEEE
13 years 9 months ago
Fast directional chamfer matching
We study the object localization problem in images given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...
CVPR
2000
IEEE
14 years 10 months ago
A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
Naoyuki Ichimura