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» Feature Generation for Sequence Categorization
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NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
CGF
2010
171views more  CGF 2010»
13 years 4 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
ICVS
2009
Springer
14 years 2 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
ICMCS
2007
IEEE
147views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Alignment of Speech to Highly Imperfect Text Transcriptions
We introduce a novel and inexpensive approach for the temporal alignment of speech to highly imperfect transcripts from automatic speech recognition (ASR). Transcripts are generat...
Alexander Haubold, John R. Kender
OOPSLA
2007
Springer
14 years 2 months ago
Synthesizing reactive systems from LSC requirements using the play-engine
Live Sequence Charts (LSCs) is a scenario-based language for modeling object-based reactive systems with liveness properties. A tool called the Play-Engine allows users to create ...
Hillel Kugler, Cory Plock, Amir Pnueli