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» An Adaptive Approach to Collecting Multimodal Input
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AIHC
2007
Springer
14 years 5 hour ago
Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...
Kostas Karpouzis, George Caridakis, Loïc Kess...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 5 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
SIGMOD
2000
ACM
236views Database» more  SIGMOD 2000»
13 years 10 months ago
XTRACT: A System for Extracting Document Type Descriptors from XML Documents
XML is rapidly emerging as the new standard for data representation and exchange on the Web. An XML document can be accompanied by a Document Type Descriptor (DTD) which plays the...
Minos N. Garofalakis, Aristides Gionis, Rajeev Ras...
CONNECTION
2008
109views more  CONNECTION 2008»
13 years 5 months ago
Object schemas for grounding language in a responsive robot
We introduce an approach for physically-grounded natural language interpretation by robots which reacts appropriately to unanticipated physical changes in the environment and dyna...
Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, ...
CHI
2011
ACM
12 years 9 months ago
Identifying emotional states using keystroke dynamics
The ability to recognize emotions is an important part of building intelligent computers. Emotionally-aware systems would have a rich context from which to make appropriate decisi...
Clayton Epp, Michael Lippold, Regan L. Mandryk