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CLOR
2006
15 years 5 months ago
2006
The chapter describes visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures ...
112
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
115
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
109
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
112
Voted
ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...