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» Incremental Algorithms for Hierarchical Classification
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CVPR
2009
IEEE
13 years 10 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 10 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
14 years 1 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
IPPS
2003
IEEE
14 years 7 hour ago
Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
QSIC
2005
IEEE
14 years 9 days ago
Stochastic Voting Algorithms for Web Services Group Testing
This paper proposes a stochastic voting for testing a large number of Web Services (WS) under group testing. In the future, a large number of WS will be available and they need to...
Wei-Tek Tsai, Dawei Zhang, Raymond A. Paul, Yinong...