Presents a new image compression algorithm that employs some of the most successful approaches to adaptive lossless compression to perform adaptive online (single pass) vector quantization with variable size codebook entries. Results of tests of the algorithm's effectiveness on standard test images are given. (12 references) (KRN)

Evaluates the performance of different methods of data compression coding in several situations. Huffman's code, arithmetic coding, fixed codes, fast approximations to arithmetic coding, and splay coding are discussed in terms of their speed, memory requirements, and proximity to optimal performance. Recommendations for the best methods of…

Presents an inference algorithm that produces a weighted finite automata (WFA), in particular, the grayness functions of graytone images. Image-data compression results based on the new inference algorithm produces a WFA with a relatively small number of edges. Image-data compression results alone and in combination with wavelets are discussed.…

Examines four working steps from an empirical model where an expert abstractor discovers what a paper is about and drafts a topic sentence; a simulation system is developed using this model. Discusses knowledge processing activities of professional summarizing. Results indicate that a small simulation model of professional summarizing is feasible.…

Describes a system that performs automatic summaries of news from a large commercial news service encompassing 41 different publications. This system was compared to a system that used only the lead sentences of the texts. Lead-based summaries significantly outperformed the sentence-selection summaries. (AEF)

Describes a method of selective information presentation exemplified by an editor that produces an encyclopedia based on source articles, and needs access to dynamically-selected aspects of the articles for editorial decision making. Presents a system that provides a generic basis for summarization by building multilingual, genre-driven automatic…

Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)

Discusses a method for organizing and augmenting the data in a complex database to make automatic retrieval possible. Presents an example of the method using a database of information on the nature and use of fungicides. Initial results of trials with potential users suggest that the system can produce relevant responses to queries. (Author/AEF)

Proposes an extended vector-processing scheme that extracts information from hypertext links to enhance retrieval effectiveness. Evaluates the impact of bibliographic references, bibliographic coupling, cocitation and document representative relationships. Shows that hypertext links do not always improve average precision, and interdocument…

Discusses similarities and differences between knowledge acquisition in expert systems and requirement acquisition in others kinds of information systems (particularly decision support systems). Examines role-limiting methods for automated knowledge acquisition and their integration from the problem-solving perspective. Suggests a feasibility…