Recent results in the area of language identification have shown a significant improvement over previous systems. In this paper, we evaluate the related problem of dialect identification using one of the techniques recently developed for language identification, the Gaussian mixture models with shifted-delta-cepstral features. The system shown is developed using the same methodology followed fo...

in this paper, chebyshev acceleration technique is used to solve the fuzzy linear system (fls). this method is discussed in details and followed by summary of some other acceleration techniques. moreover, we show that in some situations that the methods such as jacobi, gauss-sidel, sor and conjugate gradient is divergent, our proposed method is applicable and the acquired results are illustrate...

This paper describes a hybrid French Romanian cognate identification module. This module is used by a lexical alignment system. Our cognate identification method uses lemmatized, tagged and sentence-aligned parallel corpora. This method combines statistical techniques, linguistic information (lemmas, POS tags) and orthographic adjustments. We evaluate our cognate identification module and we co...

In recent years, iris recognition has become a popular recognition system as compare to the existing systems. It is an important biometric method for human identification with high accuracy. It is the most reliable and accurate biometric identification system available today. The most popular biometric types are: signature, face, iris, finger prints, hand and voice. Among all these biometric te...

This paper describes research into techniques for automating the classification and identification of humpback whales from tail fin images. The need for a system to aid in the visual identification process is becoming greater as the number of whales encountered during wildlife studies increases. Currently manual handling of large numbers of photographs, including matching the whales in each new...

A new scheme of non-parametric identification method based on orthonormal wavelets for structures with multicoupled modes is developed and presented in this paper. The advantages of using Wavelets for system identification are that good localization and hierarchical multiresolution can be achieved in both time and frequency domains. Consequently, the system model with multiple coupled modes can...

This paper reports on the participation of the Information Management System Research Group of the University of Padua to the Music Identification task of the MusiCLEF Laboratory in CLEF 2011. The system under evaluation is FALCON, an open-source engine for content-based cover song identification written in Java that applies classic techniques derived from textual Information Retrieval to music...

In this paper we develop a method for identifying SISO Wiener-type nonlinear systems, that is, systems consisting of a linear dynamic system followed by a static nonlinearity. Unlike previous techniques developed for Wiener system identification, our approach allows the identification of systems with nonlinearities that are known but not necessarily invertible, continuous, differentiable, or an...