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88
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CVPR
2008
IEEE
16 years 2 months ago
Learning and using taxonomies for fast visual categorization
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
Gregory Griffin, Darya Perona
92
Voted
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 16 days ago
Classification of Spreadsheet Errors
This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehensi...
Kamalasen Rajalingham, David R. Chadwick, Brian Kn...
72
Voted
CVPR
2008
IEEE
16 years 2 months ago
On the use of independent tasks for face recognition
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
Àgata Lapedriza, David Masip, Jordi Vitri&a...
97
Voted
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 26 days ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram