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GLOBECOM
2009
IEEE
14 years 2 months ago
An Iterative Precoder Optimization Method for K-User Interference Channel Systems
— In this paper, we propose a linear precoding and decoding scheme maximizing the sum rate of K-user interference channel systems where each node has multiple antennas. With an i...
Hakjea Sung, Kyoung-Jae Lee, Seok-Hwan Park, Inkyu...
ICMLA
2009
13 years 5 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
CVPR
2010
IEEE
14 years 4 months ago
Beyond Trees: MRF Inference via Outer-Planar Decomposition
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan...
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
14 years 1 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen
INFOCOM
2008
IEEE
14 years 2 months ago
Cell Selection in 4G Cellular Networks
—Cell selection is the process of determining the cell(s) that provide service to each mobile station. Optimizing these processes is an important step towards maximizing the util...
David Amzallag, Reuven Bar-Yehuda, Danny Raz, Gabr...