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IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
JMM2
2008
160views more  JMM2 2008»
13 years 7 months ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
ICPR
2006
IEEE
14 years 8 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 8 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ISMIR
2004
Springer
162views Music» more  ISMIR 2004»
14 years 1 months ago
Features and classifiers for the automatic classification of musical audio signals
Several factors affecting the automatic classification of musical audio signals are examined. Classification is performed on short audio frames and results are reported as “ba...
Kristopher West, Stephen Cox