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NIPS
2008
13 years 10 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
GRAPHICSINTERFACE
2001
13 years 10 months ago
Corrosion: Simulating and Rendering
Weathering phenomena represent a topic of growing interest in computer graphics, and corrosion reactions are of great importance since they affect a large number of different fiel...
Stéphane Mérillou, Jean-Michel Disch...
ISCAPDCS
2003
13 years 10 months ago
Job Management in Grids of MOSIX Clusters
EnFuzion and MOSIX are two packages that represent different approaches to cluster management. EnFuzion is a user-level queuing system that can dispatch a predetermined number of ...
David Abramson, Amnon Barak, Colin Enticott
SCANGIS
2003
13 years 10 months ago
Spatio-Temporal Modeling of Dynamic Phenomena in GIS
Although, most of phenomena change over time, there has been an attempt to model the phenomena of real world assuming a static nature for them. Even when changes occurred in the p...
Saeed Nadi, Mahmoud Reza Delavar
UAI
2003
13 years 10 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...