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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 2 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ICCV
2009
IEEE
13 years 5 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 7 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
MM
2009
ACM
125views Multimedia» more  MM 2009»
14 years 2 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
EGC
2005
Springer
14 years 28 days ago
Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach
Abstract. Grid technology is widely emerging as a solution for wide-spread applicability of computerized analysis and processing procedures in biomedical sciences. In this paper we...
Sebastián Ordas, Hans C. van Assen, Loic Bo...