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» Modeling Human Activities as Speech
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EMNLP
2008
15 years 7 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
ICIP
2010
IEEE
15 years 4 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
COMPSYSTECH
2009
15 years 4 months ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...
ATAL
2010
Springer
15 years 7 months ago
Adaptive expressiveness: virtual conversational agents that can align to their interaction partner
Speakers in dialogue tend to adapt to each other by starting to use similar lexical items, syntactic structures, or gestures. This behaviour, called alignment, may serve important...
Hendrik Buschmeier, Kirsten Bergmann, Stefan Kopp
IFIP13
2004
15 years 7 months ago
Analysing Dynamic Function Scheduling Decisions
: Function allocation, as a process used in the construction of dependable complex systems, is a significant aspect of the design and implementation of interactive systems. It invo...
Karsten Loer, Michael Hildebrandt, Michael D. Harr...