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» Intrinsic Representation: Bootstrapping Symbols from Experie...
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CVPR
2003
IEEE
14 years 7 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
SOFSEM
2012
Springer
12 years 1 months ago
Turing Machines for Dummies - Why Representations Do Matter
Abstract. Various methods exists in the literature for denoting the configuration of a Turing Machine. A key difference is whether the head position is indicated by some integer ...
Peter van Emde Boas
CCGRID
2010
IEEE
13 years 5 months ago
Discovering Piecewise Linear Models of Grid Workload
—Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategi...
Tamás Éltetö, Cécile Ger...
ECCV
2006
Springer
14 years 7 months ago
Sampling Representative Examples for Dimensionality Reduction and Recognition - Bootstrap Bumping LDA
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
Hui Gao, James W. Davis
EMSOFT
2009
Springer
13 years 9 months ago
Modular static scheduling of synchronous data-flow networks: an efficient symbolic representation
This paper addresses the question of producing modular sequential imperative code from synchronous data-flow networks. Precisely, given a system with several input and output flow...
Marc Pouzet, Pascal Raymond