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» Selectivity Estimation using Probabilistic Models
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ICCV
2003
IEEE
16 years 6 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
15 years 11 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
127
Voted
BMCBI
2010
72views more  BMCBI 2010»
15 years 5 months ago
Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials
Background: Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, prot...
Yaping Feng, Andrzej Kloczkowski, Robert L. Jernig...
ICCAD
2003
IEEE
144views Hardware» more  ICCAD 2003»
16 years 1 months ago
A High-level Interconnect Power Model for Design Space Exploration
— In this paper, we present a high-level power model to estimate the power consumption in semi-global and global interconnects. Such interconnects are used for communications bet...
Pallav Gupta, Lin Zhong, Niraj K. Jha
119
Voted
CSDA
2008
77views more  CSDA 2008»
15 years 5 months ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis