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» A comparative study of two object recognition methods
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ICASSP
2011
IEEE
14 years 8 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
CIMCA
2005
IEEE
15 years 10 months ago
Ant Colony System for Optimizing Vehicle Routing Problem with Time Windows
Research on the optimization of Vehicle Routing Problem with Time Windows (VRPTW) is a significant investigation area of ant colony system (ACS). This paper proposes an enhanced AC...
Xuan Tan, Xuyao Luo, W. N. Chen, Jun Zhang
SIBGRAPI
2009
IEEE
15 years 11 months ago
Nude Detection in Video Using Bag-of-Visual-Features
Abstract—The ability to filter improper content from multimedia sources based on visual content has important applications, since text-based filters are clearly insufficient a...
Ana Paula Brandão Lopes, Sandra E. F. de Av...
ICPR
2002
IEEE
16 years 5 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
ICPR
2000
IEEE
16 years 5 months ago
Embedded Formulas Extraction
A new approach for separating mathematics from usual text is presented. Contrary to the existing methods, it is more oriented toward the segmentation than the recognition, isolati...
Abdel Belaïd, Afef Kacem, Mohamed Ben Ahmed