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ICIP
2001
IEEE
16 years 4 months ago
Multibit digital watermarking robust against local nonlinear geometrical distortions
This paper presents an efficient method for the estimation and recovering from nonlinear or local geometrical distortions, such as the random bending attack and restricted project...
Frédéric Deguillaume, Sviatoslav Vol...
ICIP
2001
IEEE
16 years 4 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
ICIP
2000
IEEE
16 years 4 months ago
Normalized Training for HMM-Based Visual Speech Recognition
This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recogniti...
Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamur...
ISBI
2008
IEEE
16 years 3 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen
DAGM
2009
Springer
15 years 9 months ago
Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
Alexander Barth, Jan Siegemund, Uwe Franke, Wolfga...