Among many variations of more complex hidden Markov models, coupled hidden Markov models (CHMM) have recently attracted increased interests in many practical applications. This paper describes a new CHMM formulation in which the joint transition probability is modeled as a linear combination of the marginal transition probabilities and the weights used to capture the interactions among multiple...

The clinical features of 14 neonates with congenital myotonic dystrophy were retrospectively reviewed. These babies represent all the new cases of congenital myotonic dystrophy seen in this department since 1982. Twelve babies were referred because of either difficulties in diagnosis or difficulties in the management of their respiratory problems. Of the 14 babies, 13 had birth asphyxia, 11 wer...

There’s some very important meaning in the study of realtime face recognition and tracking system for the video monitoring and artifical vision. The current method is still very susceptible to the illumination condition, non-real time and very common to fail to track the target face especially when partly covered or moving fast. In this paper, we propose to use Boosted Cascade combined with ski...

Drawing on implementations of A.I. models for real-time music performance that produce an immediate sonification and visualisation display from gestural and audio input, this paper concerns three areas of relevance to a broader array of inter-domain implementation: integration of A.I. modules (Artifical Life, biologically-inspired and Evolutionary processes) in a system for real-time computatio...

precipitation is one of important parameters of climatology and atmospheric science that have more importance in human life. recently, extensive flood and drought entered many damage to most parts of the world. precipitation forecasting and alerts management role is responsible for these problems. today, artificial neural networks are one of developed method that applied for estimate and predic...

We present a new bio-inspired approach applied to a problem of stereo images matching. This approach is based on an artifical epidemic process, that we call “the infection algorithm.” The problem at hand is a basic one in computer vision for 3D scene reconstruction. It has many complex aspects and is known as an extremely difficult one. The aim is to match the contents of two images in order to...

Estimating depth information from two-dimensional stereoscopic image pairs is an important task in image processing. The disparity, i.e. the displacement of corresponding pixels in the image pair, can be estimated directly from local image phase in the fourier domain. In this paper a combined FFTbased approach for disparity estimation is proposed, where additional magnitude information is inclu...