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CVPR
2008
IEEE
14 years 8 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...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
VLSISP
2010
254views more  VLSISP 2010»
13 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
LREC
2010
146views Education» more  LREC 2010»
13 years 8 months ago
The Influence of the Utterance Length on the Recognition of Aged Voices
This paper addresses the recognition of elderly callers based on short and narrow-band utterances, which are typical for Interactive Voice Response (IVR) systems. Our study is bas...
Alexander Schmitt, Tim Polzehl, Wolfgang Minker, J...
CVPR
2008
IEEE
14 years 8 months ago
A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition
In this paper, we present a surface reflectance descriptor based on the control points resulting from the interpolation of Non-Uniform Rational B-Spline (NURBS) curves to multispe...
Cong Phuoc Huynh, Antonio Robles-Kelly