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» Approximate Objects and Approximate Theories
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ECCV
2004
Springer
16 years 8 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ICML
2010
IEEE
15 years 7 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
ATMOS
2010
134views Optimization» more  ATMOS 2010»
15 years 5 months ago
Vertex Disjoint Paths for Dispatching in Railways
We study variants of the vertex disjoint paths problem in planar graphs where paths have to be selected from a given set of paths. We study the problem as a decision, maximization...
Holger Flier, Matús Mihalák, Anita S...
ECCV
2008
Springer
16 years 8 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
JELIA
1998
Springer
15 years 10 months ago
A Logic for Anytime Deduction and Anytime Compilation
Abstract. One of the maincharacteristics of logical reasoning in knowledge based systems is its high computational complexity. Anytime deduction and anytime compilation are two att...
Frédéric Koriche