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» On Non-Approximability for Quadratic Programs
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AUTOMATICA
2010
90views more  AUTOMATICA 2010»
13 years 8 months ago
A line search improvement of efficient MPC
A recent lifting technique led to a computationally efficient Model Predictive Control (MPC) strategy in which the online optimization is performed using a univariate Newton-Raphs...
Basil Kouvaritakis, Shuang Li, Mark Cannon
JMLR
2006
115views more  JMLR 2006»
13 years 8 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
SOCO
2008
Springer
13 years 8 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
13 years 8 months ago
Optimal controller tuning for nonlinear processes
: This work proposes a systematic methodology for the optimal selection of controller parameters, in the sense of minimizing a performance index which is a quadratic function of th...
Nikolaos Kazantzis, Costas Kravaris, Costas Tseron...
VLDB
2005
ACM
134views Database» more  VLDB 2005»
14 years 1 months ago
MDL Summarization with Holes
Summarization of query results is an important problem for many OLAP applications. The Minimum Description Length principle has been applied in various studies to provide summarie...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng