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» Visual Object Detection using Frequent Pattern Mining
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MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 6 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
UAI
1996
13 years 6 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BMCBI
2010
155views more  BMCBI 2010»
13 years 5 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2008
144views more  BMCBI 2008»
13 years 5 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
TFM
2009
Springer
252views Formal Methods» more  TFM 2009»
13 years 12 months ago
Abstraction and Modelling: A Complementary Partnership
action and Modelling - a complementary partnership” 10h30 – 11h 00 Coffee break 11h-12h30 Session 1 “Model Transformation: Foundations” Algebraic models for bidirectional m...
Jeffrey Kramer