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CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 2 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
VLSISP
2010
254views more  VLSISP 2010»
14 years 8 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 ...
ESANN
2006
14 years 11 months ago
Spatial filters for the classification of event-related potentials
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
SAC
2003
ACM
15 years 3 months ago
Multiclass Text Categorization for Automated Survey Coding
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
Daniela Giorgetti, Fabrizio Sebastiani
CIKM
2008
Springer
14 years 11 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan