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ICCV
2007
IEEE
14 years 9 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
VLSID
2002
IEEE
116views VLSI» more  VLSID 2002»
14 years 8 months ago
Efficient Macromodeling for On-Chip Interconnects
The improved T and improved n models are proposed for onchip interconnect macromodeling. Using global approximations, simple approximation frames are derived and applied to modeli...
Qinwei Xu, Pinaki Mazumder
CVPR
2008
IEEE
14 years 9 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
ICML
2007
IEEE
14 years 8 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
ACL
1997
13 years 9 months ago
A Model of Lexical Attraction and Repulsion
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
Doug Beeferman, Adam L. Berger, John D. Lafferty