This paper describes research in progress on two quite different ways of training systems that are composed of many small Hidden Markov Models (HMM’s). The first is a purely discriminative method in which all of the parameters of all the HMM’s are adjusted to optimize classification performance. The second is an unsupervised method in which many little HMM’s are used to model the probability de...

This paper presents a novel hybrid modeling technique that is used for the first time in Hidden Markov Modelbased handwriting recognition. This new approach combines the advantages of discrete and continuous Markov models and it is shown that this is especially suitable for modeling the features typically used in handwriting recognition. The performance of this hybrid technique is demonstrated ...

Abstract: In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of the skew log Gaussian model to accommodate to both skewness and heavy tails and also censored data. All of the characteristics mentioned are three pervasive features of spatial data. We utilize data augme...

landsat data for 1992, 2000, and 2013 land use changes for ekbatan dam watershed was simulated through ca-markov” model. two classification methods were initially used, viz. the maximum likelihood (mal) and support vector machine (svm). although both methods showed high overall accuracy and kappa coefficient, visually mal failed in separating land uses, particularly built up and dry lands.there...

The theory of behavioral communication for humanoid robots that in teract with humans is discussed in this paper For behavioral communication it is fundamental for a humanoid robot to recognize the meaning of the whole body mo tion of a human According to the previous works it can be done in the symbolic level by adopting the proto symbol space de ned by the Hidden Markov Models based on the mi...

abstract background: identify talented people to donate predisposed a major role in supplying healthy blood. if the time interval between donations decrease, the chance that voluntary of blood donation be a regular donor increase. the aim of this study was to determine factors affecting the interval between blood donations in a sample of first-time blood donors. methods: data of a cross-section...

We present a novel approach to detecting and utilizing symmetries in probabilistic graphical models with two main contributions. First, we present a scalable approach to computing generating sets of permutation groups representing the symmetries of graphical models. Second, we introduce orbital Markov chains, a novel family of Markov chains leveraging model symmetries to reduce mixing times. We...

This paper proposes a novel method for jointly estimating the track of a moving object and the events in which it participates. The method is intended for dealing with generic objects that are hard to localise and track with the performance of current detection algorithms our focus is on events involving carried objects. The tracks for other objects with which the target object interacts (e.g. ...