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AAAI
2008
13 years 10 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
DSS
2006
174views more  DSS 2006»
13 years 7 months ago
CMedPort: An integrated approach to facilitating Chinese medical information seeking
As the number of non-English resources available on the Web is increasing rapidly, developing information retrieval techniques for non-English languages is becoming an urgent and ...
Yilu Zhou, Jialun Qin, Hsinchun Chen
MIR
2003
ACM
113views Multimedia» more  MIR 2003»
14 years 29 days ago
Semantic-meaningful content-based image retrieval in wavelet domain
In this paper, we propose a semantic-meaningful approach for region-based image retrieval in image database. Our retrieval system is based on wavelet transform for its decompositi...
Yongqing Sun, Shinji Ozawa
FMSD
2007
110views more  FMSD 2007»
13 years 7 months ago
Exploiting interleaving semantics in symbolic state-space generation
Symbolic techniques based on Binary Decision Diagrams (BDDs) are widely employed for reasoning about temporal properties of hardware circuits and synchronous controllers. However, ...
Gianfranco Ciardo, Gerald Lüttgen, Andrew S. ...
VLDB
2003
ACM
165views Database» more  VLDB 2003»
14 years 8 months ago
Learning to match ontologies on the Semantic Web
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedr...