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» Learning for Sequence Extraction Tasks
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CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 10 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
PAMI
2002
98views more  PAMI 2002»
13 years 9 months ago
Extraction of Visual Features for Lipreading
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
Iain Matthews, Timothy F. Cootes, J. Andrew Bangha...
CVPR
2006
IEEE
14 years 4 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
IJCV
2007
211views more  IJCV 2007»
13 years 10 months ago
The CLEF 2005 Automatic Medical Image Annotation Task
In this paper, the automatic annotation task of the 2005 CLEF cross-language image retrieval campaign (ImageCLEF) is described. This paper focuses on the database used, the task s...
Thomas Deselaers, Henning Müller, Paul Clough...
PRL
2008
181views more  PRL 2008»
13 years 10 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen