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» Predicting relative performance of classifiers from samples
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FLAIRS
2006
13 years 10 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
BIBM
2010
IEEE
158views Bioinformatics» more  BIBM 2010»
13 years 7 months ago
Protein-protein interaction prediction via Collective Matrix Factorization
Abstract--Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of ...
Qian Xu, Evan Wei Xiang, Qiang Yang
IJCV
1998
153views more  IJCV 1998»
13 years 8 months ago
Rational Filters for Passive Depth from Defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive t...
Masahiro Watanabe, Shree K. Nayar
ECCV
2008
Springer
14 years 11 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
ECCV
2002
Springer
14 years 11 months ago
Face Recognition from Long-Term Observations
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
Gregory Shakhnarovich, John W. Fisher III, Trevor ...