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NIPS
2001
15 years 7 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
LCN
2000
IEEE
15 years 10 months ago
Nonlinear Time-Series Model for VBR Video Traffic
In this paper, variable bit rate (VBR) H.261 encoded video traffic is modeled by a nonlinear time series process. A threshold autoregressive (TAR) process is of particular interes...
Jimmie L. Davis, Kavitha Chandra, Charles Thompson
ICDAR
2003
IEEE
15 years 11 months ago
Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis
A method for automatically assessing the constructional sequence from a neuropsychological drawing task using Hidden Markov Models is presented. We also present a method of extrac...
Richard M. Guest, Samuel Chindaro, Michael C. Fair...
CVPR
1999
IEEE
16 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
ICIP
2001
IEEE
16 years 7 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll