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» Model Combination for Machine Translation
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143
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CVBIA
2005
Springer
15 years 9 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
ICFEM
2003
Springer
15 years 8 months ago
Generic Interacting State Machines and Their Instantiation with Dynamic Features
Interacting State Machines (ISMs) are used to model reactive systems and to express and verify their properties. They can be seen both as automata exchanging messages simultaneousl...
David von Oheimb, Volkmar Lotz
ACL
2006
15 years 4 months ago
Using Machine Learning to Explore Human Multimodal Clarification Strategies
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Verena Rieser, Oliver Lemon
200
Voted
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
15 years 9 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
CLEF
2003
Springer
15 years 8 months ago
ITC-irst at CLEF 2003: Monolingual, Bilingual, and Multilingual Information Retrieval
This paper reports on the participation of ITC-irst in the Cross Language Evaluation Forum 2003; in particular, in the monolingual, bilingual, small multilingual, and spoken docum...
Nicola Bertoldi, Marcello Federico