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» Models for Incomplete and Probabilistic Information
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ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 10 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos
ICCV
2007
IEEE
16 years 6 months ago
Using High-Level Visual Information for Color Constancy
We propose to use high-level visual information to improve illuminant estimation. Several illuminant estimation approaches are applied to compute a set of possible illuminants. Fo...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...
RECOMB
2003
Springer
16 years 4 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
SIGECOM
2008
ACM
158views ECommerce» more  SIGECOM 2008»
15 years 4 months ago
Information revelation and random entry in sequential ascending auctions
We examine a model in which multiple buyers with single-unit demand are faced with an infinite sequence of auctions. New buyers arrive on the market probabilistically, and are each...
Maher Said
CVPR
2007
IEEE
16 years 6 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla