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» Approximating Parameterized Convex Optimization Problems
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DCC
2003
IEEE
14 years 8 months ago
Linear Programming Optimization for Video Coding under Multiple Constraints
This paper introduces a linear programming (LP) technique that performs ratedistortion based optimization for constrained video coding. Given the assumption of piecewise linear an...
Yegnaswamy Sermadevi, Sheila S. Hemami
JMLR
2012
11 years 11 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
EJASP
2010
92views more  EJASP 2010»
13 years 3 months ago
Optimized Paraunitary Filter Banks for Time-Frequency Channel Diagonalization
We adopt the concept of channel diagonalization to time-frequency signal expansions obtained by DFT filter banks. As a generalization of the frequency domain channel representatio...
Ziyang Ju, Thomas Hunziker, Dirk Dahlhaus
ICASSP
2011
IEEE
13 years 6 days ago
Multiple-channel detection of a Gaussian time series over frequency-flat channels
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speciï¬...
David Ramírez, Javier Vía, Ignacio S...
DAGM
2008
Springer
13 years 10 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner