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» Graph model selection using maximum likelihood
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EMNLP
2008
13 years 10 months ago
Two Languages are Better than One (for Syntactic Parsing)
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
David Burkett, Dan Klein
VLDB
2007
ACM
122views Database» more  VLDB 2007»
14 years 9 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
CVPR
2008
IEEE
13 years 9 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
EVOW
2004
Springer
14 years 2 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...
MICCAI
1999
Springer
14 years 1 months ago
Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration
While intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the physics of imaging. The motiva...
Alexis Roche, Grégoire Malandain, Nicholas ...