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ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
15 years 4 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
TIT
2011
113views more  TIT 2011»
15 years 1 months ago
Many-Sources Large Deviations for Max-Weight Scheduling
In this paper, we establish a many-sources large deviations principle (LDP) for the stationary workload of a multi-queue single-server system with simplex capacity, operated under...
Vijay G. Subramanian, Tara Javidi, Somsak Kittipiy...
IWOCA
2010
Springer
219views Algorithms» more  IWOCA 2010»
15 years 1 months ago
Efficient Chaining of Seeds in Ordered Trees
We consider here the problem of chaining seeds in ordered trees. Seeds are mappings between two trees Q and T and a chain is a subset of non overlapping seeds that is consistent wi...
Julien Allali, Cedric Chauve, Pascal Ferraro, Anne...
JCNS
2010
103views more  JCNS 2010»
15 years 1 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
CVPR
2011
IEEE
14 years 10 months ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...