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ECIR
2006
Springer
13 years 8 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
DCC
2011
IEEE
13 years 2 months ago
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
Xin Hou, Karthik S. Gurumoorthy, Ajit Rajwade
ICASSP
2008
IEEE
14 years 1 months ago
Blind channel estimation in DS-CDMA systems with unknown wide-sense stationary noise using generalized correlation decomposition
A novel blind subspace-based channel estimation technique is developed for direct-sequence code division multiple-access (DS-CDMA) systems operating in unknown wide-sense stationa...
Keyvan Zarifi, Alex B. Gershman
NIPS
2007
13 years 9 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
14 years 21 days ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis