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ICPP
2007
IEEE
14 years 3 months ago
Parallel Algorithms for Bayesian Indoor Positioning Systems
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Konstantinos Kleisouris, Richard P. Martin
CSCWD
2009
Springer
14 years 1 months ago
Ceramic tile design: A case study of collaborative New-Product Development in fashion-driven chains
This paper studies ceramic tile design chains, as representative of those collaborative New-Product Development (NPD) processes where the presence of very different origins of des...
María Jesús Agost, Pedro Company, Fe...
FOCS
2000
IEEE
14 years 1 months ago
The Randomness Recycler: A New Technique for Perfect Sampling
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
James Allen Fill, Mark Huber
ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 8 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
ECCV
2008
Springer
14 years 10 months ago
Statistical Analysis of Global Motion Chains
Abstract. Multiple elements such as lighting, colors, dialogue, and camera motion contribute to the style of a movie. Among them, camera motion is commonly overlooked yet a crucial...
Jenny Yuen, Yasuyuki Matsushita