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» On Non-Approximability for Quadratic Programs
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COR
2007
108views more  COR 2007»
13 years 8 months ago
A hub location problem with fully interconnected backbone and access networks
This paper considers the design of two-layered fully interconnected networks.A two-layered network consists of clusters of nodes, each defining an access network and a backbone n...
Tommy Thomadsen, Jesper Larsen
JMLR
2006
108views more  JMLR 2006»
13 years 8 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
ICIP
2007
IEEE
14 years 9 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GLOBECOM
2009
IEEE
13 years 11 months ago
Compressed Sensing Reception of Bursty UWB Impulse Radio is Robust to Narrow-Band Interference
—We have recently proposed a novel receiver for Ultra-Wide-band Impulse-Radio communication in bursty applications like Wireless Sensor Networks. The receiver, based on the princ...
Anand Oka, Lutz H.-J. Lampe