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ECCV
2004
Springer
16 years 7 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
ICC
2007
IEEE
146views Communications» more  ICC 2007»
15 years 11 months ago
Correlation Based Rate Adaptation via Insights from Incomplete Observations in 802.11 Networks
—Rate adaptation, as a challenging issue for wireless purpose. Relatively little attention has been paid on identifying network design, has been an active research topic for year...
Xia Zhou, Jun Zhao, Guang-Hua Yang
IFIP12
2008
15 years 6 months ago
Optimizing Relationships Information in Repertory Grids
The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that c...
Enrique Calot, Paola Britos, Ramón Garc&iac...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 5 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
ML
2008
ACM
15 years 5 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen