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» Recognizing Unnecessary Inference
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AAAI
2008
13 years 9 months ago
CIGAR: Concurrent and Interleaving Goal and Activity Recognition
In artificial intelligence and pervasive computing research, inferring users' high-level goals from activity sequences is an important task. A major challenge in goal recogni...
Derek Hao Hu, Qiang Yang
BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
PAMI
2007
144views more  PAMI 2007»
13 years 7 months ago
Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships
—A system that could automatically analyze the facial actions in real time has applications in a wide range of different fields. However, developing such a system is always chall...
Yan Tong, Wenhui Liao, Qiang Ji
WWW
2005
ACM
14 years 8 months ago
Extracting context to improve accuracy for HTML content extraction
Web pages contain clutter (such as ads, unnecessary images and extraneous links) around the body of an article, which distracts a user from actual content. Extraction of "use...
Suhit Gupta, Gail E. Kaiser, Salvatore J. Stolfo
CSB
2003
IEEE
14 years 21 days ago
Group Testing With DNA Chips: Generating Designs and Decoding Experiments
DNA microarrays are a valuable tool for massively parallel DNA-DNA hybridization experiments. Currently, most applications rely on the existence of sequence-specific oligonucleot...
Alexander Schliep, David C. Torney, Sven Rahmann