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CVPR
2011
IEEE
13 years 2 months ago
From Region Similarity to Category Discovery
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
BMCBI
2006
146views more  BMCBI 2006»
13 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 1 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
ICNSC
2008
IEEE
14 years 1 months ago
Cscan: A Correlation-based Scheduling Algorithm for Wireless Sensor Networks
— Dynamic scheduling management in wireless sensor networks is one of the most challenging problems in long lifetime monitoring applications. In this paper, we propose and evalua...
Qingquan Zhang, Yu Gu, Tian He, Gerald E. Sobelman
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 7 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang