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» Unsupervised Feature Selection Using Feature Similarity
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WAPCV
2004
Springer
16 years 3 days ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
WWIC
2004
Springer
140views Communications» more  WWIC 2004»
16 years 3 days ago
An Agent-Based Architecture for Service Discovery and Negotiation in Wireless Networks
This paper proposes a market-place based architecture, where users can detect wireless network services, negotiate with the identified service providers about price and service fe...
Erich Bircher, Torsten Braun
177
Voted
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
16 years 2 days ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
HPDC
1999
IEEE
15 years 11 months ago
PARED: A Framework for the Adaptive Solution of PDEs
We describe our experience using PARED, an object oriented system for the adaptive solution of PDEs in a distributed computing environment. PARED handles selective mesh refinement...
José G. Castaños, John E. Savage
ATAL
2006
Springer
15 years 10 months ago
Information-theoretic approaches to branching in search
Deciding what to branch on at each node is a key element of search algorithms. We present four families of methods for selecting what question to branch on. They are all informati...
Andrew Gilpin, Tuomas Sandholm