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» Hierarchical Hidden Markov Models for Information Extraction
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MM
2003
ACM
161views Multimedia» more  MM 2003»
15 years 6 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
CIDU
2010
14 years 11 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
IJCAI
2001
15 years 2 months ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
KI
2007
Springer
15 years 7 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
SIGIR
1998
ACM
15 years 5 months ago
Automatic Acquisition of Phrasal Knowledge for English-Chinese Bilingual Information Retrieval
Extraction of phrasal knowledge, such as proper names, domain-specific keyphrases and lexical templates from a domain-specific text collection are significant for developing effec...
Ming-Jer Lee, Lee-Feng Chien