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» Modeling and Learning Contact Dynamics in Human Motion
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ICRA
2010
IEEE
125views Robotics» more  ICRA 2010»
14 years 8 months ago
Inferring the semantics of direction signs in public places
Abstract— Most large-scale public environments provide direction signs to facilitate the orientation for humans and to find their way to a goal location in the environment. Thus...
Jérôme Maye, Luciano Spinello, Rudolp...
CIVR
2004
Springer
248views Image Analysis» more  CIVR 2004»
15 years 1 months ago
Automated Person Identification in Video
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Mark Everingham, Andrew Zisserman
AROBOTS
2002
131views more  AROBOTS 2002»
14 years 9 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
BMCBI
2007
133views more  BMCBI 2007»
14 years 9 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
15 years 1 months 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