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» A new robust relevance model in the language model framework
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CVPR
2010
IEEE
13 years 11 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
WOSP
2000
ACM
14 years 9 hour ago
A UML tool for an automatic generation of simulation programs
For sometime now, Unified Modelling Language (UML) has been accepted as a standard for designing new systems. Its array of notations helps system designers to capture their ideas ...
L. B. Arief, Neil A. Speirs
ICCS
2005
Springer
14 years 1 months ago
Dynamic Data Driven Coupling of Continuous and Discrete Methods for 3D Tracking
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
Dimitris N. Metaxas, Gabriel Tsechpenakis
CIKM
2007
Springer
13 years 11 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
PRL
2002
94views more  PRL 2002»
13 years 7 months ago
A hierarchical tag-graph search scheme with layered grammar rules for spontaneous speech understanding
It has always been difficult for language understanding systems to handle spontaneous speech with satisfactory robustness, primarily due to such problems as the fragments, disflue...
Bor-shen Lin, Berlin Chen, Hsin-Min Wang, Lin-Shan...