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» Iterative methods for Robbins problems
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TIP
2002
169views more  TIP 2002»
15 years 2 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad
111
Voted
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 28 days ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
109
Voted
SETN
2004
Springer
15 years 8 months ago
Construction and Repair: A Hybrid Approach to Search in CSPs
Abstract. In order to obtain a solution to a constraint satisfaction problem, constructive methods iteratively extend a consistent partial assignment until all problem variables ar...
Konstantinos Chatzikokolakis, George Boukeas, Pana...
132
Voted
AI
2008
Springer
15 years 2 months ago
Reachability analysis of uncertain systems using bounded-parameter Markov decision processes
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
Di Wu, Xenofon D. Koutsoukos
113
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Direction-of-arrival estimation using acoustic vector sensors in the presence of noise
A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-ofarrival (DOA) estimation. A method is proposed to ...
Dovid Levin, Sharon Gannot, Emanuel A. P. Habets