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RP
2009
Springer
110views Control Systems» more  RP 2009»
14 years 4 months ago
Formalisms for Specifying Markovian Population Models
Abstract. We compare several languages for specifying Markovian population models such as queuing networks and chemical reaction networks. These languages —matrix descriptions, s...
Thomas A. Henzinger, Barbara Jobstmann, Verena Wol...
NIPS
2003
13 years 11 months ago
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science
Despite the popularity of connectionist models in cognitive science, their performance can often be difficult to evaluate. Inspired by the geometric approach to statistical model ...
Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Ja...
IPSN
2004
Springer
14 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
HCI
2009
13 years 7 months ago
An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition
Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
Todd C. Alexander, Hassan S. Ahmed, Georgios C. An...
ICIG
2009
IEEE
13 years 7 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa