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» Dimensionality Reduction for Classification
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117
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ICASSP
2008
IEEE
15 years 9 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
140
Voted
ICMCS
2008
IEEE
134views Multimedia» more  ICMCS 2008»
15 years 9 months ago
Face recognition by SVMS classification of 2D and 3D Radial Geodesics
An original approach to represent 2D and 3D faces using Radial Geodesic Distances (RGDs) is proposed in this work. In 3D, the RGD of a generic point of the face surface is compute...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala, ...
86
Voted
ICIP
2007
IEEE
15 years 9 months ago
Multiscale Random Projections for Compressive Classification
We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio te...
Marco F. Duarte, Mark A. Davenport, Michael B. Wak...
PAMI
2008
119views more  PAMI 2008»
15 years 3 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
ICASSP
2011
IEEE
14 years 7 months ago
Sensing-aware classification with high-dimensional data
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkat...