Human motion sequence-oriented spatio-temporal pattern analysis is a new problem in pattern recognition. This paper proposes an approach to human motion sequence recognition based on 2D spatiotemporal shape analysis, which is used to identify diving actions. The approach consists of the following main steps. For each image sequence involving human in diving, a simple exemplar-based contour trac...

listeria monocytogenes can cause serious infection and recently, relapse of listeriosis has been reported in leukemia and colorectal cancer, and the patients with klebsiella pneumoniae are at increased risk of colorectal cancer. translation initiation codon recognition is basically mediated by shine-dalgarno (sd) and the anti-sd sequences at the small ribosomal rna (ssu rrna). in this research,...

A new family of duplex-forming recognition encoded oligomers, capable sequence selective duplex formation and template directed synthesis, was developed. Monomers equipped with both amine aldehyde groups were functionalized...

We show the emergence of strong catalytic activity at low concentrations in dynamic libraries complementary sequence-defined oligomeric chains comprising pendant functional groups and terminal recognition units. In solution,...

A Hidden Markov Model (HMM) Toolbox within the Matlab environment is presented. In this toolbox, the conventional techniques for the continuous and discrete HMM are developed for the training as well as for the test phases. The ability to make different groups of components for the vector pattern is provided. Multilabeling techniques for the discrete HMM is also provided. The toolbox includes p...

The paper presents the use of neural networks for task automated speech reading by lips articulation. Speech recognition is performed in two stages. First, a face search and area selected separate frame video sequence using Haar features. Then frames goes to input deep learning convolutional recurrent viseme recognition. Experimental studies were carried out independently obtained videos with R...

In speech translation, we are faced with the problem of how to couple the speech recognition process and the translation process. Starting from the Bayes decision rule for speech translation, we analyze how the interaction between the recognition process and the translation process can be modelled. In the light of this decision rule, we discuss the already existing approaches to speech translat...

This paper explores a framework for recognition of image sequences using partially observable stochastic differential equation (SDE) models. Monte-Carlo importance sampling techniques are used for efficient estimation of sequence likelihoods and sequence likelihood gradients. Once the network dynamics are learned, we apply the SDE models to sequence recognition tasks in a manner similar to the ...

the enzyme DpnII, produced by another strain of D. pneumoniae, recognizes the same sequence, but is inhibited by this same methylated base. The significance of the occurrence of modified nucleotides in eukaryotic DNA is not as yet understood, although a relationship between modification and gene expression has been proposed by several workers (Waalwijk & Flavell, 1978; Bird et al., 1979). By us...

We describe a new method for phoneme sequence recognition given a speech utterance, which is not based on the HMM. In contrast to HMM-based approaches, our method uses a discriminative kernel-based training procedure in which the learning process is tailored to the goal of minimizing the Levenshtein distance between the predicted phoneme sequence and the correct sequence. The phoneme sequence p...