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» Modeling synchronized time series
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107
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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 25 days ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
102
Voted
ICTAI
2006
IEEE
15 years 6 months ago
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chao F...
96
Voted
PADS
2000
ACM
15 years 5 months ago
Distributed, parallel simulation of multiple, deliberative agents
Multi-agent systems comprise multiple, deliberative agents embedded in and recreating patterns of interactions. Each agent’s execution consumes considerable storage and calculat...
Adelinde Uhrmacher, K. Gugler
115
Voted
TSE
2008
92views more  TSE 2008»
15 years 19 days ago
Evaluating Test Suites and Adequacy Criteria Using Simulation-Based Models of Distributed Systems
Test adequacy criteria provide the engineer with guidance on how to populate test suites. While adequacy criteria have long been a focus of research, existing testing methods do no...
Matthew J. Rutherford, Antonio Carzaniga, Alexande...
107
Voted
SAB
2010
Springer
127views Optimization» more  SAB 2010»
14 years 10 months ago
Tactile Discrimination Using Template Classifiers: Towards a Model of Feature Extraction in Mammalian Vibrissal Systems
Abstract. Rats and other whiskered mammals are capable of making sophisticated sensory discriminations using tactile signals from their facial whiskers (vibrissae). As part of a pr...
Mathew H. Evans, Charles W. Fox, Martin J. Pearson...