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» On space constrained set selection problems
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NIPS
2008
15 years 1 months ago
Diffeomorphic Dimensionality Reduction
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Christian Walder, Bernhard Schölkopf
PPSN
2004
Springer
15 years 5 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
119
Voted
TSP
2010
14 years 7 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
77
Voted
EVOW
2005
Springer
15 years 6 months ago
Choosing the Fittest Subset of Low Level Heuristics in a Hyperheuristic Framework
A hyperheuristic is a high level procedure which searches over a space of low level heuristics rather than directly over the space of problem solutions. The sequence of low level h...
Konstantin Chakhlevitch, Peter I. Cowling
APIN
1998
132views more  APIN 1998»
15 years 4 days ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon