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BMVC
2010
14 years 12 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ACL
2010
14 years 12 months ago
Learning Phrase-Based Spelling Error Models from Clickthrough Data
This paper explores the use of clickthrough data for query spelling correction. First, large amounts of query-correction pairs are derived by analyzing users' query reformula...
Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 2 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
AIME
2007
Springer
15 years 8 months ago
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
Abstract. The practice of medicine is becoming increasingly evidencebased and clinical practice guidelines (CPGs) are necessary for advancing evidence-based medicine (EBM). We hypo...
Subramani Mani, Constantin F. Aliferis
CORR
2008
Springer
189views Education» more  CORR 2008»
15 years 2 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli