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» Robust Feature Selection Algorithms
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145
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ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
15 years 7 days ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
143
Voted
SIGIR
2012
ACM
13 years 5 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
152
Voted
TASE
2010
IEEE
14 years 9 months ago
Automated Selection and Placement of Single Cells Using Vision-Based Feedback Control
Abstract--We present a robotic manipulation system for automated selection and transfer of individual living cells to analysis locations. We begin with a commonly used cell transfe...
Y. H. Anis, Mark Holl, Deirdre R. Meldrum
CVPR
2006
IEEE
16 years 4 months ago
Accelerated Kernel Feature Analysis
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xing...
ICIAP
2005
ACM
16 years 2 months ago
Face and Facial Feature Localization
Abstract. In this paper we present a general technique for face and facial features localization in 2D color images with arbitrary background. In a previous work we studied an eye ...
Paola Campadelli, Raffaella Lanzarotti, Giuseppe L...