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» Unsupervised Learning of Human Motion Models
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ACL
2012
13 years 1 days ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
ATAL
2009
Springer
15 years 4 months ago
Learning a model of speaker head nods using gesture corpora
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...
Jina Lee, Stacy Marsella
98
Voted
IROS
2006
IEEE
124views Robotics» more  IROS 2006»
15 years 3 months ago
Simulation of Acquisition of Locomotion of an Infant Robot
Abstract— The authors proposed a simulation method to clarify the developmental process of human locomotion using a model of infant robot. The infant robot has many degrees of fr...
Katsuyoshi Tsujita, Tatsuya Masuda
MM
2009
ACM
252views Multimedia» more  MM 2009»
15 years 4 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
BC
2005
83views more  BC 2005»
14 years 9 months ago
Learning visuomotor transformations for gaze-control and grasping
For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...
Heiko Hoffmann, Wolfram Schenck, Ralf Möller