Total Variability Model Conventionally formulated as generative model over features Assumes that feature vector distribution is a GMM Distribution Free Formulation Follows from asymptotic normality of Baum-Welch statistics Connections to probabilistic PCA, matrix completion Leads to a stochastic subgradient descent based estimation algorithm Conventional Formulation Collection of feature vector...

-This paper describes a technique for on-line signature verification using Hidden Markov Models (HMMs). Signatures are captured and digitized in real-time using a graphic tablet. For each signature a HMM is constructed using a set of sample signatures described by the normalized directional angle function of the distance along the signature trajectory. The Baum-Welch algorithm is used for both ...

In this paper we present a statistical model with a nonsymmetric half-plane (NSHP) region of support for twodimensional continuous-valued vector fields. It has the simplicity, efficiency, and ease of use of the well-known hidden Markov model (HMM) and associated Baum-Welch algorithms for time-series and other one-dimensional problems. At the same time, it is able to learn textures on a twodimen...

T he core genes that regulate cell shape are few in number but highly fl exible in application. This is dramatically illustrated in multicellular animals where, by repurposing these few tools, cells from different tissues assume startlingly distinct appearances. To do this, animal cells must have strong individual preferences for their own shape, says Buzz Baum from University College London. I...

Audio classification has applications in a variety of contexts, such as automatic sound analysis, supervised audio segmentation and in audio information search and retrieval. Extended Baum-Welch (EBW) transformations are most commonly used as a discriminative technique for estimating parameters of Gaussian mixtures, though recently they have been applied in unsupervised audio segmentation. In t...

This paper is focused on the use of image processing techniques and pattern recognition methods to preclassify Baum test results and therefore to make large groups underage children psychological screening less time and staff consuming. The authors propose some practical solutions to preprocess images and then measure useful features for the analytic and morphological analysis of the drawings.

We present a simplified derivation of the extended Baum-Welch procedure, which shows that it can be used for Maximum Mutual Information (MMI) of a large class of continuous emission density hidden Markov models (HMMs). We use the extended Baum-Welch procedure for discriminative estimation of MLLR-type speaker adaptation transformations. The resulting adaptation procedure, termed Conditional Max...