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ICIP
2007
IEEE
14 years 9 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
COLT
2005
Springer
14 years 1 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
ISAAC
2003
Springer
101views Algorithms» more  ISAAC 2003»
14 years 1 months ago
Rapid Mixing of Several Markov Chains for a Hard-Core Model
The mixing properties of several Markov chains to sample from configurations of a hard-core model have been examined. The model is familiar in the statistical physics of the liqui...
Ravi Kannan, Michael W. Mahoney, Ravi Montenegro
LREC
2010
131views Education» more  LREC 2010»
13 years 9 months ago
A Semi-supervised Type-based Classification of Adjectives: Distinguishing Properties and Relations
We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
Matthias Hartung, Anette Frank
FUIN
2008
98views more  FUIN 2008»
13 years 8 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný