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» Learning Low-Level Vision
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ICPR
2006
IEEE
14 years 10 months ago
Identification of degraded traffic sign symbols by a generative learning method
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
Hiroshi Murase, Hiroyuki Ishida, Ichiro Ide, Tomok...
ICPR
2008
IEEE
14 years 3 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
ICPR
2010
IEEE
14 years 2 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
ECCV
2010
Springer
14 years 1 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
SIGCSE
2009
ACM
139views Education» more  SIGCSE 2009»
14 years 9 months ago
Abstraction and extensibility in digital logic simulation software
ion and Extensibility in Digital Logic Simulation Software Richard M. Salter and John L. Donaldson Computer Science Department Oberlin College Oberlin, OH 44074 rms@cs.oberlin.edu,...
Richard M. Salter, John L. Donaldson