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IJCAI
1997
13 years 9 months ago
A Learning System for Selective Dissemination of Information
New methods and new systems are needed to lter or to selectively distribute the increasing volume of electronic informationbeing produced nowadays. An e ective information ltering...
Gianni Amati, Fabio Crestani, Flavio Ubaldini
CVPR
2009
IEEE
15 years 1 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
DLS
2005
148views Languages» more  DLS 2005»
13 years 10 months ago
Compile-time meta-programming in a dynamically typed OO language
Compile-time meta-programming allows programs to be constructed by the user at compile-time. Although LISP derived languages have long had such facilities, few modern languages ar...
Laurence Tratt
BXML
2003
13 years 10 months ago
An Instructional Component for Dynamic Course Generation and Delivery
: E-Learning offers the advantage of interactivity: an E-Learning system can adapt the learning materials to suit the learner’s personality and his goals, and it can react to the...
Carsten Ullrich
MT
2007
100views more  MT 2007»
13 years 8 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar