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» Pattern Recognition Using Functions of Multiple Instances
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CORR
2000
Springer
112views Education» more  CORR 2000»
15 years 2 months ago
Evolution of differentiated expression patterns in digital organisms
Abstract. We investigate the evolutionary processes behind the development and optimization of multiple threads of execution in digital organisms using the avida platform, a softwa...
Charles Ofria, Christoph Adami, Travis C. Collier,...
120
Voted
ICML
2009
IEEE
15 years 7 days ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
131
Voted
ICCV
2009
IEEE
15 years 8 days ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
15 years 9 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
91
Voted
ICDAR
2007
IEEE
15 years 8 months ago
Using Random Forests for Handwritten Digit Recognition
In the Pattern Recognition field, growing interest has been shown in recent years for Multiple Classifier Systems and particularly for Bagging, Boosting and Random Subspaces. Th...
Simon Bernard, Sébastien Adam, Laurent Heut...