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» Automatic summarising: The state of the art
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FLAIRS
2008
15 years 2 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
ECCV
2008
Springer
16 years 1 months ago
Automatic Generator of Minimal Problem Solvers
Abstract. Finding solutions to minimal problems for estimating epipolar geometry and camera motion leads to solving systems of algebraic equations. Often, these systems are not tri...
Martin Bujnak, Tomás Pajdla, Zuzana Kukelov...
IVC
2006
227views more  IVC 2006»
14 years 11 months ago
Automatic registration of overlapping 3D point clouds using closest points
While the SoftAssign algorithm imposes a two-way constraint embedded into the deterministic annealing scheme and the EMICP algorithm imposes a one-way constraint, they represent t...
Yonghuai Liu
SIGIR
2003
ACM
15 years 5 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
JMIV
2007
143views more  JMIV 2007»
14 years 11 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson