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» A Model Selection Approach for Local Learning
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MCS
2005
Springer
15 years 3 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
KI
2006
Springer
14 years 9 months ago
Classification of Skewed and Homogenous Document Corpora with Class-Based and Corpus-Based Keywords
In this paper, we examine the performance of the two policies for keyword selection over standard document corpora of varying properties. While in corpus-based policy a single set ...
Arzucan Özgür, Tunga Güngör
CA
2002
IEEE
15 years 2 months ago
A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation
Animated characters may exhibit several kinds of dynamic intelligence when performing low-level navigation (i.e., navigation on a local perceptual scale): They decide among differ...
Eric Aaron, Harold C. Sun, Franjo Ivancic, Dimitri...
MCS
2009
Springer
15 years 4 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown
CVPR
2009
IEEE
15 years 1 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