130 search results - page 12 / 26 » On vector autoregressive modeling in space and time |
CSL
2007
Springer
14 years 9 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
GMP
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract. This paper presents the mathematical framework, and develops algorithms accordingly, to continuously and robustly track the intersection curves of two deforming parametri...
78
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
15 years 4 months ago
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
WSC
2007
14 years 12 months ago
2007
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...