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EMNLP
2008
13 years 6 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
13 years 6 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
TSMC
2002
110views more  TSMC 2002»
13 years 4 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 5 months ago
A Recommender System based on Idiotypic Artificial Immune Networks
Abstract-The immune system is a complex biological system with a highly distributed, adaptive and selforganising nature. This paper presents an Artificial Immune System (AIS) that ...
Steve Cayzer, Uwe Aickelin
AAAI
2006
13 years 6 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche