This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by freezing any node that does not actively participate in the training process. A node is not active if it has little or no effect to reduce the error of the network as the training proceeds. Experimental results demons...

We elaborate the SNAP|Scalable (ATM) Network and (PC) Platforms|view of computing in the year 2000. The World Wide Web will continue its rapid evolution, and in the future, applications will not be written for Windows NT/95 or UNIX, but rather for Web-Windows with interfaces deened by the standards of Web servers and clients. This universal environment will support WebTop productivity tools, su...

A region-based approach towards modelling of bottom-up visual attention is proposed with an objective to accelerate the internal processes of attention and make its output usable by the high-level vision procedures to facilitate intelligent decision making during pattern analysis and vision-based learning. A memory-based inhibition of return is introduced in order to handle the dynamic scenario...

XML raises as the standard for semistructured data representation and data exchange in the Web. In this context, data integration mechanisms are required to provide an unified view of semantically related information of a same domain. In this paper, a bottom-up integration process is proposed to solve such problem. In this approach, an ontology is generated from the semantic integration of conc...

Current research in crisis management research tends to overemphasise formal organisational modes and does not adequately support ground level teams. Following a case study, we identify five main problems experienced by rescuers at the start of an emergency intervention. The work shows a clear need to focus research on ground level communication and local coordination activities and to develop ...

We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called the multibody brightness constancy constraint (MBCC) to a window around each pixel of the scene and obtains local motion models from the derivatives of the MBCC. These local models are then clustered to obtain the para...

Visualization of program execution is generally bene cial for programmers to understand the program. However, there exist only a limited number of visualization systems which can be used for practical applications. The main focus of the traditional visualization systems is on how to make concrete pictures, and they are customized for speci c application domains. Therefore, the existing visualiz...

In this article, we use an automated bottom-up approach to identify semantic categories in an entire corpus. We conduct an experiment using a word vector model to represent the meaning of words. The word vectors are then clustered, giving a bottom-up representation of semantic categories. Our main finding is that the likelihood of changes in a word’s meaning correlates with its position within ...

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In this paper we present and analyze functional programs for a number of priority queue operations. These programs are based upon the top-down skew heaps|a truly elegant data structure|designed by D.D. Sleator and R.E. Tarjan. We show how their potential technique can be used to determine the time complexity of functional programs. This functional approach enables us to derive a potential funct...