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KSEM
2009
Springer
14 years 2 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
WDAG
2009
Springer
160views Algorithms» more  WDAG 2009»
14 years 7 days ago
Brief Announcement: The Minimum Failure Detector for Non-Local Tasks in Message-Passing Systems
This paper defines the basic notions of local and non-local tasks, and determines the minimum information about failures that is necessary to solve any non-local task in message-p...
Carole Delporte-Gallet, Hugues Fauconnier, Sam Tou...
BMCBI
2010
218views more  BMCBI 2010»
13 years 7 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
EMMCVPR
2011
Springer
12 years 7 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko