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» Generalized Filtering Decomposition
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73
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ICASSP
2009
IEEE
15 years 4 months ago
Frequency invariant MVDR beamforming without filters and implementation using MIMO radar
Abstract-- Frequency invariant beamforming with sensor arrays is generally achieved using filters in the form of tapped delay-lines following each sensor. However it has been recen...
Piya Pal, P. P. Vaidyanathan
84
Voted
UAI
2004
15 years 2 months ago
Maximum Entropy for Collaborative Filtering
Within the task of collaborative filtering two challenges for computing conditional probabilities exist. First, the amount of training data available is typically sparse with resp...
C. Lawrence Zitnick, Takeo Kanade
115
Voted
WSCG
2000
132views more  WSCG 2000»
15 years 1 months ago
Adaptive Filtering for Progressive Monte Carlo Image Rendering
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation t...
Frank Suykens, Yves D. Willems
ATAL
2010
Springer
15 years 1 months ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer
97
Voted
SIGIR
2008
ACM
15 years 16 days ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack