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ICASSP
2011
IEEE
14 years 6 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu
120
Voted
APBC
2007
110views Bioinformatics» more  APBC 2007»
15 years 3 months ago
Fast Structural Similarity Search Based on Topology String Matching
ibe an abstract data model of protein structures by representing the geometry of proteins using spatial data types and present a framework for fast structural similarity search bas...
Sung-Hee Park, David Gilbert, Keun Ho Ryu
109
Voted
ICML
2010
IEEE
15 years 3 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
15 years 4 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...