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» An Instance Selection Approach to Multiple Instance Learning
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CPAIOR
2008
Springer
14 years 11 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
ATAL
2008
Springer
14 years 11 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
JCDL
2005
ACM
116views Education» more  JCDL 2005»
15 years 3 months ago
Name disambiguation in author citations using a K-way spectral clustering method
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliogra...
Hui Han, Hongyuan Zha, C. Lee Giles
CVPR
2008
IEEE
15 years 11 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
15 years 9 months ago
ViewJoin: Efficient View-based Evaluation of Tree Pattern Queries
A fundamental problem in XML query processing is tree pattern query (TPQ) matching which computes all data instances in an XML database that match an input TPQ. There is a lot of r...
Ding Chen, Chee-Yong Chan