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TNN
2008
74views more  TNN 2008»
13 years 7 months ago
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector
The matrix, as an extended pattern representation to the vector, has proven to be effective in feature extraction. But the subsequent classifier following the matrix-pattern-orien...
Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
An evolutionary synthesis method to design low-sensitivity IIR filters with linear phase in the passband is presented. The method uses a chromosome coding scheme based on the grap...
Leonardo Bruno de Sá, Antonio Carneiro Mesq...
TCBB
2008
103views more  TCBB 2008»
13 years 7 months ago
DNA Motif Representation with Nucleotide Dependency
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
Francis Y. L. Chin, Henry C. M. Leung
IWPC
1999
IEEE
13 years 12 months ago
The SPARAMAT Approach to Automatic Comprehension of Sparse Matrix Computations
Automatic program comprehension is particularly useful when applied to sparse matrix codes, since it allows to abstract e.g. from specific sparse matrix storage formats used in th...
Christoph W. Keßler, Craig Smith