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IGARSS
2009
13 years 5 months ago
High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
Antonio Plaza, Qian Du, Yang-Lang Chang
IEEEPACT
1998
IEEE
13 years 12 months ago
Scanning Polyhedra without Do-loops
We study in this paper the problem of polyhedron scanning which appears for example when generating code for transformed loop nests in automatic parallelization. After a review of...
Pierre Boulet, Paul Feautrier
IBPRIA
2005
Springer
14 years 1 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
PR
2011
12 years 10 months ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...