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4OR
2004
90views more  4OR 2004»
13 years 7 months ago
A MIP approach for some practical packing problems: Balancing constraints and tetris-like items
This paper considers packing problems with balancing conditions and items consisting of clusters of parallelepipeds (mutually orthogonal, i.e. tetris-like items). This issue is qu...
Giorgio Fasano
TIP
2002
98views more  TIP 2002»
13 years 7 months ago
Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior
We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
TCOM
2008
118views more  TCOM 2008»
13 years 6 months ago
Performance analysis for collaborative decoding with least-reliable-bits exchange on AWGN channels
Collaborative decoding is an approach that can achieve diversity and combining gain by exchanging decoding information among a cluster of physically separated receivers. On AWGN ch...
Xin Li, Tan F. Wong, John M. Shea
MTA
2010
146views more  MTA 2010»
13 years 6 months ago
STIMO: STIll and MOving video storyboard for the web scenario
In the current Web scenario a video browsing tool that produces on-the-fly storyboards is more and more a need. Video summary techniques can be helpful but, due to their long proc...
Marco Furini, Filippo Geraci, Manuela Montangero, ...
ICASSP
2009
IEEE
13 years 5 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...