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» Using Gaussian Processes to Optimize Expensive Functions
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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 10 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
TASLP
2008
102views more  TASLP 2008»
13 years 10 months ago
Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochast...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
ICIP
1998
IEEE
14 years 11 months ago
Minimum Support Interpolators with Optimum Approximation Properties
Abstract- We investigate the functions of given approximation order L that have the smallest support. Those are shown to be linear combinations of the Bspline of degree .L - 1 and ...
Michael Unser, Philippe Thévenaz, Thierry B...
ICN
2007
Springer
14 years 4 months ago
Heuristic Approach of Optimal Code Allocation in High Speed Downlink Packet Access Networks
— In this paper, we use the Markov Decision Process (MDP) technique to find the optimal code allocation policy in High-Speed Downlink Packet Access (HSDPA) networks. A discrete ...
Hussein Al-Zubaidy, Jerome Talim, Ioannis Lambadar...
ICASSP
2008
IEEE
14 years 4 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...