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» Sparse probabilistic classifiers
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SIGIR
2012
ACM
11 years 10 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
MICCAI
2009
Springer
14 years 8 months ago
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy
Recent advances in biophotonics have enabled in-vivo, in-situ histopathology for routine clinical applications. The non-invasive nature of these optical `biopsy' techniques, h...
Selen Atasoy, Ben Glocker, Stamatia Giannarou, ...
ICLP
2009
Springer
14 years 8 months ago
Preprocessing for Optimization of Probabilistic-Logic Models for Sequence Analysis
Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
Henning Christiansen, Ole Torp Lassen
IPPS
2006
IEEE
14 years 1 months ago
Oblivious parallel probabilistic channel utilization without control channels
The research interest in sensor nets is still growing because they simplify data acquisition in many applications. If hardware resources are very sparse, routing algorithms cannot...
Christian Schindelhauer
TCSV
2008
202views more  TCSV 2008»
13 years 7 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao