We present an algorithm using transformation groups and their irreducible representations to generate an orthogonal basis for a signal in the vector space of the signal. It is shown that multiresolution analysis can be done with amplitudes using a transformation group. G-lets is thus not a single transform, but a group of linear transformations related by group theory. The algorithm also specif...

The OLIVE project aims the development of a multilingual indexing tool for broadcast material based on speech recognition, which automatically produces indexes from the sound track of a program (television or radio). Such a tool allows multimedia archives to be searched by keywords and corresponding fragments to be retrieved. This paper gives a report on the alignment module, which is one of th...

In this paper, we present the machine-controlled relevance feedback technique for the distributed contentbased image retrieval (CBIR) system. A nonlinear model based on the Gaussian-shaped radial basis function (RBF) is applied in the feedback process, and a bias weighting is introduced to the query content as the partial supervised function to improve the retrieval precision. This paper introd...

A new, computationallyand statistically-efficient algorithm, the Fast χ algorithm (Fχ), can find a periodic signal with harmonic content in irregularlysampled data with non-uniform errors. The algorithm calculates the minimized χ as a function of frequency at the desired number of harmonics, using Fast Fourier Transforms to provide O(N logN) performance. The code for a reference implementation ...

Focused crawlers aim to search only the subset of the web related to a specific topic, and offer a potential solution to the problem. The major problem is how to retrieve the maximal set of relevant and quality pages. In this paper, We propose an architecture that concentrates more over page selection policy and page revisit policy The three-step algorithm for page refreshment serves the purpos...

The algorithm of the creation texts parallel corpora was presented. The algorithm is based on the use of "key words" in text documents, and on the means of their automated translation. Key words were singled out by means of using Russian and Ukrainian morphological dictionaries, as well as dictionaries of the translation of nouns for the Russian and Ukrainianlanguages. Besides, to calculate the...

This paper presents a novel low complexity, frequency domain algorithm for reconstruction of speech from the melfrequency cepstral coe cients (MFCC), commonly used by speech recognition systems, and the pitch frequency values. The reconstruction technique is based on the sinusoidal speech representation. A set of sine-wave frequencies is derived using the pitch frequency and voicing decisions, ...

Learning in radial basis function (RBF) networks is the topic of this paper. Particularly we address the problem of intialisation the centers and scaling parameters in RBF networks utilizing classiication tree algorithms. This method was introduced by Kubat in 1998. Algorithms for the calculation of the centers and scaling parameters in an RBF network are presented and numerical results for the...

In this paper we use a genetic algorithm (GA) for selecting the initial seed points (prototypes, kernels) for a Radial Basis Function (RBF) classifier. The chromosome is directly mapped onto the training set and represents a subset: it contains 1 at the ith position if the ith element of the set is included, and 0, otherwise. Thus the GA serves a condensing technique that can hopefully lead to ...