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» Graph model selection using maximum likelihood
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ICASSP
2010
IEEE
13 years 7 months ago
Semantic confidence calibration for spoken dialog applications
The success of spoken dialog applications depends strongly on the quality of the semantic confidence measure that determines the selection of the dialog strategy. However, the sem...
Dong Yu, Li Deng
CVPR
2009
IEEE
15 years 1 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
KBSE
2008
IEEE
14 years 1 months ago
Random Test Run Length and Effectiveness
Abstract—A poorly understood but important factor in random testing is the selection of a maximum length for test runs. Given a limited time for testing, it is seldom clear wheth...
James H. Andrews, Alex Groce, Melissa Weston, Ru-G...
SIGGRAPH
1996
ACM
13 years 11 months ago
Real-Time, Continuous Level of Detail Rendering of Height Fields
We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid repr...
Peter Lindstrom, David Koller, William Ribarsky, L...
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...