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» On learning with dissimilarity functions
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IPSN
2010
Springer
14 years 3 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 2 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
14 years 2 months ago
Sound Localization for Humanoid Robots - Building Audio-Motor Maps based on the HRTF
— Being able to localize the origin of a sound is important for our capability to interact with the environment. Humans can localize a sound source in both the horizontal and ver...
Jonas Hörnstein, Manuel Lopes, José Sa...
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
14 years 2 months ago
Differential and geometric properties of Rayleigh quotients with applications
the following cost functions: In this paper, learning rules are proposed for simultaneous corn- GI(U) = tr{(UTU)(UTBU)-lD, (la) putation of minor eigenvectors of a covariance matri...
M. A. Hasan
ML
2006
ACM
103views Machine Learning» more  ML 2006»
14 years 2 months ago
Type-safe distributed programming for OCaml
Existing ML-like languages guarantee type-safety, ensuring memty and protecting the invariants of abstract types, but only within single executions of single programs. Distributed...
John Billings, Peter Sewell, Mark R. Shinwell, Rok...