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ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
16 years 20 days ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
CIDU
2010
15 years 4 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
ICANN
2005
Springer
15 years 12 months ago
Implicit Relevance Feedback from Eye Movements
We explore the use of eye movements as a source of implicit relevance feedback information. We construct a controlled information retrieval experiment where the relevance of each t...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
HCI
2009
15 years 4 months ago
An Approach to Glove-Based Gesture Recognition
Nowadays, computer interaction is mostly done using dedicated devices. But gestures are an easy mean of expression between humans that could be used to communicate with computers ...
Farid Parvini, Dennis McLeod, Cyrus Shahabi, Bahar...
ICASSP
2009
IEEE
15 years 4 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...