William I. Grosky

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In a number of emerging streaming applications, the data values that are produced have an associated time interval for which they are valid. A useful computation over such streaming data sets is to produce a continuous and valid skyline summary. To the best of our knowledge, this problem has not been addressed before. In this paper we introduce an operator(More)
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, latent semantic indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI determines clusters of(More)
Modern database management systems are designed to promote the controlled sharing of information. Each individual user has his own view of the data and acts as if he were the only user of the system. While database technology has emphasized the management of textural data, in the past few years there has been much interest in the ability to manage(More)
Recent research on image databases has been aimed at the development of content-based retrieval techniques for the management of visual information. Compared with such visual information as color, texture, and spatial constraints, shape is so important a feature associated with those image objects of interest that shape alone may be sufficient to identify(More)
The emergence of multimedia technology and the rapidly expanding image and video collections on the internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data. Image retrieval is based on the availability of a representation scheme of image content. Image content descriptors may be visual(More)
Many multimedia applications require retrieval of spatially similar images against a given query image. Existing work on image retrieval and indexing either requires extensive low-level computations or elaborate human interaction. In this paper, we introduce a new symbolic image representation technique to eliminate repetitive tasks of image understanding(More)
– In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, latent semantic indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI determines clusters of(More)
ment systems are designed to promote controlled sharing of textual information. Individual users have their own view of the managed data and act as if they are the only users of the system. Recently, there has been much interest in various kinds of database management systems for nontextual information. The database community has manifested this interest in(More)