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» The Characterization of Data-Accumulating Algorithms
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163
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CORR
2011
Springer
189views Education» more  CORR 2011»
14 years 10 months ago
Analysis of multi-stage open shop processing systems
We study algorithmic problems in multi-stage open shop processing systems that are centered around reachability and deadlock detection questions. We characterize safe and unsafe s...
Christian Eggermont, Alexander Schrijver, Gerhard ...
163
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MP
2011
14 years 10 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
130
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SIAMAM
2011
14 years 10 months ago
Imaging Schemes for Perfectly Conducting Cracks
We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequ...
Habib Ammari, Josselin Garnier, Hyeonbae Kang, Won...
TSP
2011
151views more  TSP 2011»
14 years 10 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
189
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JMLR
2010
121views more  JMLR 2010»
14 years 10 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor