People strive to make sense of the complex electroencephalography (EEG) data generated by brain. This study uses a prepared dataset examine how easily people with alcohol use disorder (AUD) could be distinguished from healthy people. The signals each electrode are connected one another and first represented as single signal. signal is then denoised through variation mode decomposition (VMD) dur...

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries and its content. Some preliminary resu...

Most state-of-the-art algorithms for filament detection in 3-D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its eigenvalues. This approach, while very effective for clean data in which linear structures are nearly cylindrical, loses its effectiveness in the presence of noisy data and irregular structures. In this paper, we sho...

In this paper, we describe our experiments on statistical word sense disambiguation (WSD) using two systems based on different approaches: Näıve Bayes on word tokens and Maximum Entropy on local syntactic and semantic features. In the first approach, we consider a context window and a sub-window within it around the word to disambiguate. Within the outside window, only content words are conside...

This paper examines application of various feature domains for recognition of human face images to introduce an efficient feature extraction method. The proposed feature extraction method comprised of two steps. In the first step, a human face localization technique with defining a new parameter to eliminate the effect of irrelevant data is applied to the facial images. In the next step three d...

This paper presents an improved feature extraction technique for the cursive characters recognition. This technique can be applied in the perspective of handwritten word recognition system based on segmentation. The bases of fused statistical features extraction technique are improved projection profile and transition features. To extend this principal, a technique is integrated with the projec...

We use the Margin Infused Relaxed Algorithm of Crammer et al. to add a large number of new features to two machine translation systems: the Hiero hierarchical phrasebased translation system and our syntax-based translation system. On a large-scale ChineseEnglish translation task, we obtain statistically significant improvements of +1.5 B and +1.1 B, respectively. We analyze the impact of ...

Speech analysis applications are typically based on short-term spectral analysis of the speech signal. Feature extraction process outputs one feature vector per frame. The features are further processed by application-dependent techniques, such as hidden Markov models or vector quantization. Independent from the application, it is often desirable that the feature vectors form separable clusters...