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ICRA
1998
IEEE
91views Robotics» more  ICRA 1998»
15 years 7 months ago
Selecting Targets for Local Reference Frames
This paper addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regi...
Saul Simhon, Gregory Dudek
CEC
2008
IEEE
15 years 5 months ago
Automated solution selection in multi-objective optimisation
This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjectiv...
Andrew Lewis, David Ireland
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 2 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
137
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FUIN
2010
268views more  FUIN 2010»
14 years 10 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
ISLPED
2003
ACM
96views Hardware» more  ISLPED 2003»
15 years 8 months ago
Effective graph theoretic techniques for the generalized low power binding problem
This paper proposes two very fast graph theoretic heuristics for the low power binding problem given fixed number of resources and multiple architectures for the resources. First...
Azadeh Davoodi, Ankur Srivastava