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NIPS
2001
13 years 10 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
ISCAS
2008
IEEE
124views Hardware» more  ISCAS 2008»
14 years 3 months ago
Musical beat tracking via Kalman filtering and noisy measurements selection
— We study the problem of automatic musical beat tracking from acoustic data, i.e., finding locations of beats of a music piece by computers on-the-fly, in this work. An online...
Yu Shiu, C. C. Jay Kuo
NIPS
2004
13 years 10 months ago
Beat Tracking the Graphical Model Way
We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraint...
Dustin Lang, Nando de Freitas
CVPR
2011
IEEE
13 years 5 months ago
Multi-agent event recognition in structured scenarios
We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
Vlad Morariu, Larry Davis
HRI
2006
ACM
14 years 3 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso