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» Feature selection for linear support vector machines
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ICML
2008
IEEE
16 years 4 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
148
Voted
BMCBI
2006
143views more  BMCBI 2006»
15 years 3 months ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
ACCV
2010
Springer
14 years 10 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
CGO
2010
IEEE
15 years 10 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...
135
Voted
VECPAR
2004
Springer
15 years 8 months ago
Automatically Tuned FFTs for BlueGene/L's Double FPU
Abstract. IBM is currently developing the new line of BlueGene/L supercomputers. The top-of-the-line installation is planned to be a 65,536 processors system featuring a peak perfo...
Franz Franchetti, Stefan Kral, Juergen Lorenz, Mar...