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» Sequential predictions based on algorithmic complexity
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116
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CVPR
2006
IEEE
16 years 4 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
IPPS
2009
IEEE
15 years 9 months ago
A metascalable computing framework for large spatiotemporal-scale atomistic simulations
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
131
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EVOW
2007
Springer
15 years 6 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
151
Voted
BPSC
2009
240views Business» more  BPSC 2009»
15 years 3 months ago
Modelling and Solving Configuration Problems on Business Processes Using a Multi-Level Constraint Satisfaction Approach
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
Wolfgang Runte
JMLR
2006
85views more  JMLR 2006»
15 years 2 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...