In this paper we propose a segmentation system for unconstrained Arabic online handwriting. An essential problem addressed by analytical-based word recognition system. The system is composed of two-stages the first is a newly special designed hidden Markov model (HMM) and the second is a rules based stage. In our system, handwritten words are broken up into characters by simultaneous segmentati...

In this paper, a novel segmental Hidden Markov Model (HMM) is proposed. The model is based on a modified emission density where additional statistical dependencies between subsequent frames of the speech signal are considered. In the following we derive an effective search strategy for the modified statistical model. Further an approach to parameter reduction is introduced. Experiments were car...

The partially observable hidden Markov model is an extension of the hidden Markov Model in which the hidden state is conditioned on an independent Markov chain. This structure is motivated by the presence of discrete metadata, such as an event type, that may partially reveal the hidden state, but itself emanates from a separate process. Such a scenario is encountered in keystroke dynamics where...

The problem of reducing a Hidden Markov Model (HMM) to one smaller dimension that exactly reproduces the same marginals is tackled by using system-theoretic approach. Realization theory tools are extended HMMs leveraging suitable algebraic representations probability spaces. We propose two algorithms return coarse-grained equivalent obtained stochastic projection operators: first returns models...

Este artículo describe el conjunto de experimentos realizados para obtener el reconocimiento de 60 notas musicales de un piano digital por medio de técnicas de procesamiento digital de señales y clasificadores. Para la etapa de técnicas de procesamiento digital de señales se utilizaron: Frecuencia fundamental, coeficientes Cepstrales en la Frecuencia de Mel y Cepstrales de Mecánica Coclear. Par...

Oil and gas pipeline leakages lead to not only enormous economic loss but also environmental disasters. How detect the damages including cracks has attracted much research attention. One of promising leakage detection method is use zirconate titanate (PZT) transducers negative pressure wave when occurs. PZT can generate guided stress waves for crack also. However, or may be easily detected with...

We present a comparison of 6 methods for classification of sports audio. For the feature extraction we have two choices: MPEG-7 audio features and Mel-scale Frequency Cepstrum Coefficients (MFCC). For the classificaiton we also have two choices: Maximum Likelihood Hidden Markov Models (ML-HMM) and Entropic Prior HMM(EP-HMM). EP-HMM, in turn, have two variations: with and without trimming of the...

Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...

We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for regression. The learning process involves inferring the structure and parameters of a conventional HMM, while simultaneously learning a regression model that maps features that characterize paths through the model to con...