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» Understanding Natural Language with Diagrams
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IUI
2006
ACM
14 years 1 months ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
MT
2002
297views more  MT 2002»
13 years 7 months ago
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...
CVPR
2007
IEEE
14 years 9 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ADC
2009
Springer
163views Database» more  ADC 2009»
14 years 2 months ago
ActiveTags: Making Tags More Useful Anywhere on the Web
Tags in social tagging systems store meaning for the taggers who have entered them, and other users often share this understanding. The result of this, a folksonomy, is typically ...
Stephan Hagemann, Gottfried Vossen
ECBS
2005
IEEE
160views Hardware» more  ECBS 2005»
14 years 1 months ago
Traceability-Driven Model Refinement for Test Case Generation
Testing complex Computer-Based Systems is not only a demanding but a very critical task. Therefore the use of models for generating test data is an important goal. Tool support du...
Matthias Riebisch, Michael Hübner