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ICML
2009
IEEE
16 years 7 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICML
2005
IEEE
16 years 7 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
ICIAP
2007
ACM
16 years 6 months ago
A Method of Clustering Combination Applied to Satellite Image Analysis
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. T...
Ivan O. Kyrgyzov, Henri Maître, Marine Campe...
PERCOM
2007
ACM
16 years 6 months ago
Supporting Pluggable Configuration Algorithms in PCOM
Pervasive Computing envisions distributed applications that optimally leverage the resources present in their ever-changing execution environment. To ease the development of perva...
Marcus Handte, Klaus Herrmann, Gregor Schiele, Chr...
DCC
2008
IEEE
16 years 6 months ago
Intra Prediction via Edge-Based Inpainting
We investigate the usage of edge-based inpainting as an intra prediction method in block-based image compression. The joint utilization of edge information and the well-known Lapl...
Dong Liu, Xiaoyan Sun, Feng Wu