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» Stability of Feature Selection Algorithms
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126
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WAPCV
2004
Springer
15 years 8 months 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
110
Voted
ECAI
2008
Springer
15 years 4 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
132
Voted
ITCC
2005
IEEE
15 years 8 months ago
Performance Analysis of Mobile Backbone Topology Synthesis Algorithm for Wireless Ad Hoc Networks
In this paper, we present a scalable fully distributed version of a Mobile Backbone Network Topology Synthesis Algorithm (MBN-TSA) for constructing and maintaining a dynamic backb...
Laura Huei-jiun Ju, Izhak Rubin
125
Voted
SIGIR
2002
ACM
15 years 2 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
132
Voted
SSPR
2004
Springer
15 years 8 months ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...