Emma E. Regentova

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Techniques are presented to directly process JBIG-encoded document images. Two experimental processing pipelines are designed to evaluate the performance of the methods from the application perspective. They are document segmentation for obtaining the global layout and the form processing system for form type identification and the form dropout. The JBIG(More)
In current Personal Communication Service (PCS) Networks, such as Global Systems for Mobile Communications (GSM), the always-update (AU) strategy is used to keep track of mobile terminals (MTs) within the network. However, future PCS networks, like Universal Mobile Telecommunication System (UMTS) envision larger number of MTs and smaller cells. This will(More)
In this paper, we present a polling scheme, which allows for augmenting the support of voice communications in point co-ordination function (PCF) of IEEE 802.11 wireless networks. In this scheme, the access point (AP) of the basic service set (BSS) maintains two polling lists, i.e. the talking list and the silence list. Based on the talking status of the(More)
In this paper, we present a polling scheme which allows for augmenting the support of voice communications in point co-ordination function (PCF) of IEEE 802.11 wireless networks. In this scheme, the Access Point (AP) of the Basic Service Set (BSS) maintains two polling lists, i.e. the talking list and the silence list. Based on the talking status of the(More)
The wavelength routed optical network (WRON) [1] is a promising optical interconnection architecture that can be integrated into a System-on-Chip (SoC) to replace traditional wire-connected on-chip micro-networks which pose severe bandwidth limitations on future super large SoC chips. In this paper, we present the architecture of WRON and generalize the(More)
In this paper we investigate the performance of statistical modeling of digital mammograms by means of wavelet domain hidden Markov trees for its inclusion to a computer-aided diagnostic prompting system. The system is designed for detecting clusters of microcalcifications. Their further discrimination as benign or malignant is to be done by radiologists.(More)
Sky segmentation is an important task for many applications related to obstacle detection and path planning for autonomous air and ground vehicles. In this paper, we present a method for the automated sky segmentation by fusing K-means clustering and Neural Network (NN) classifications. The performance of the method has been tested on images taken by two(More)