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» Restricting and Embedding Imperatives
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HEURISTICS
2006
102views more  HEURISTICS 2006»
14 years 9 months ago
A logic of soft constraints based on partially ordered preferences
Representing and reasoning with an agent's preferences is important in many applications of constraints formalisms. Such preferences are often only partially ordered. One clas...
Nic Wilson
PAMI
2008
152views more  PAMI 2008»
14 years 9 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
TSP
2008
91views more  TSP 2008»
14 years 9 months ago
On Optimal Perfect Reconstruction Feedback Quantizers
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...
JAIR
2000
102views more  JAIR 2000»
14 years 9 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
CVPR
2010
IEEE
14 years 8 months ago
Shape-based similarity retrieval of Doppler images for clinical decision support
Flow Doppler imaging has become an integral part of an echocardiographic exam. Automated interpretation of flow doppler imaging has so far been restricted to obtaining hemodynami...
Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, Da...