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» Properties of input-consuming derivations
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NIPS
2004
15 years 7 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
FOCM
2008
100views more  FOCM 2008»
15 years 6 months ago
A Unifying Local Convergence Result for Newton's Method in Riemannian Manifolds
We consider the problem of finding a singularity of a differentiable vector field X defined on a complete Riemannian manifold. We prove a unified result for the existence and local...
Felipe Alvarez, Jérôme Bolte, Julien ...
CAGD
2006
103views more  CAGD 2006»
15 years 6 months ago
The implicit structure of ridges of a smooth parametric surface
Given a smooth surface, a blue (red) ridge is a curve such that at each of its points, the maximum (minimum) principal curvature has an extremum along its curvature line. Ridges a...
Frédéric Cazals, Jean-Charles Faug&e...
IGARSS
2010
15 years 1 months ago
Enhanced Cloud algorithm from collocated CALIPSO, CloudSat and MODIS global boundary layer lapse rate studies
Coincident profile information from CALIPSO's lidar and CloudSat's radar offers a unique opportunity to map the vertical structure of clouds over the globe with accuraci...
Sunny Sun-Mack, Patrick Minnis, Seiji Kato, Yan Ch...
TSP
2010
15 years 1 months ago
Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, ...