We consider the problem of recovery of a scene recorded through a semirefective medium from its mixture with a virtual reflected image using the blind source separation (BSS) framework. We extend the Sparse ICA (SPICA) approach and apply it to the separation of the desired image from the superimposed images, without having any a priory knowledge about its structure and/or statistics. Advances i...

We address the problem of Blind Source Separation (BSS) of superimposed images and, in particular, consider the recovery of a scene recorded through a semirefective medium (e.g. glass windshield) from its mixture with a virtual reflected image. We extend the Sparse ICA (SPICA) approach to BSS and apply it to the separation of the desired image from the superimposed images, without having any a ...

The paper is focused on the development of algorithms for motion planning of an autonomous helicopter in a GPS-denied environment. Methods for determining the location of the helicopter, during the flight, are presented. The methodology is based on a lightweight laser range finder as a sole onboard sensor. The sensor reading interpretation are combined with various path planning algorithms acco...

We study the problem of reconstructing a three dimensional binary matrices whose interiors are only accessible through few projections. Such question is prominently motivated by the demand in material science for developing tool for reconstruction of crystalline structures from their images obtained by high-resolution transmission electron microscopy. Various approaches have been suggested to r...

XML is today a standard for manipulating semistructured data. One of widely used industrial solutions, especially for systems with a fairly well defined data structure, is storing XML in a relational database, while XML queries are converted to SQL queries to the underlying relational database. A software product that produces XML “interface” to an underlying relational database commonly requir...

Standard supervised classification methods make the assumption that training data is fully annotated thus requiring an a-priory labelling process which both costly and time-consuming. To relax this requirement, many different flavors of weakly learning have been proposed. Among strategies, Positive Unlabelled (PUL) gaining attention from research community due to wide spectrum applications it c...

In this paper collaborative data publishing setting with horizontally partitioned data across multiple data providers, in additional bag round knowledge of each contributing a subset of records . As a special case, a data provider could be the data owner itself who is contributing its own records. This is a very common scenario in social networking and recommendation systems. In this paper we i...

This paper describes a complete system for the recognition of isolated handwritten Devnagri character using Fourier Descriptor and Hidden-Markov model (HMM). The HMM has the property that its states are not defined as a priory information, but are determined automatically based on a database of handwritten numerals images. In this work the image database consist of 500 images of handwritten Dev...

Security of public key schemes in a post-quantum world is a challenging task as both RSA and ECC will be broken then. In this paper, we show how post-quantum signature systems based on Multivariate Quadratic (MQ) polynomials can be improved up by about 9/10, and 3/4, respectively, in terms of public key size and veri cation time. The exact gures are 88% and 73%. This is particularly important f...

In the recent years, there has been a huge advancement in wireless sensor computing technology. Today, wireless sensor network (WSN) has become a key technology for different types of smart environment. Nodes localization in WSN has arisen as a very challenging problem in the research community. Most of the applications for WSN are not useful without a priory known nodes positions. Adding GPS r...