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CVPR
2007
IEEE
16 years 1 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
ICASSP
2008
IEEE
15 years 6 months ago
Music preference learning with partial information
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
CSE
2010
IEEE
14 years 11 months ago
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching application...
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Ela...
DAS
2010
Springer
15 years 3 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
108
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SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
15 years 4 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang