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IMCSIT
2010
15 years 4 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
ICVS
2009
Springer
16 years 1 months ago
Using Local Symmetry for Landmark Selection
Abstract. Most visual Simultaneous Localization And Mapping (SLAM) methods use interest points as landmarks in their maps of the environment. Often the interest points are detected...
Gert Kootstra, Sjoerd de Jong, Lambert Schomaker
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
15 years 11 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
PRIS
2004
15 years 8 months ago
Effect of Feature Smoothing Methods in Text Classification Tasks
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
David Vilar, Hermann Ney, Alfons Juan, Enrique Vid...
ICPR
2008
IEEE
16 years 8 months ago
Human tracking based on Soft Decision Feature and online real boosting
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Hironobu Fujiyoshi, Masato Kawade, Shihong Lao, Ta...