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GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 1 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
HRI
2007
ACM
14 years 20 days ago
Exploring adaptive dialogue based on a robot's awareness of human gaze and task progress
When a robot provides direction--as a guide, an assistant, or as an instructor--the robot may have to interact with people of different backgrounds and skill sets. Different peopl...
Cristen Torrey, Aaron Powers, Susan R. Fussell, Sa...
FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
14 years 15 days ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
SIGGRAPH
1995
ACM
14 years 9 days ago
Realistic modeling for facial animation
A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by man...
Yuencheng Lee, Demetri Terzopoulos, Keith Waters
FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 10 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...