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ICML
2008
IEEE
16 years 7 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
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 6 months ago
Optimally Sparse Frames
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
Peter G. Casazza, Andreas Heinecke, Felix Krahmer,...
ICPR
2004
IEEE
16 years 7 months ago
Feature Subset Selection using ICA for Classifying Emphysema in HRCT Images
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Mithun Nagendra Prasad, Arcot Sowmya, Inge Koch
VLDB
2009
ACM
130views Database» more  VLDB 2009»
16 years 6 months ago
Multi-dimensional top-k dominating queries
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Man Lung Yiu, Nikos Mamoulis
ICDAR
2009
IEEE
16 years 26 days ago
Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
We propose a new algorithm for segmentation of off-line handwritten Arabic words. The algorithm segments the connected letters to smaller segments each of which contains no more t...
Safwan Wshah, Zhixin Shi, Venu Govindaraju