Procedural interpretation in logic programming consists of two parts: answering positive queries and answering negative queries. Answering positive queries can be done using a general theorem prover. To answer negativ...
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In [12] the notion of a quantitative logic program has been introduced, and its declarative semantics explored. the operational semantics given in [12] is extended significantly in this paper — in particular, the not...
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the LOG-BASIC programming language, which has logic reasoning and data processing, is proposed. this LOG-BASIC programming language supplies a good support environment for realizing expert systems for pattern recognit...
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ISBN:
(纸本)0818608781
the LOG-BASIC programming language, which has logic reasoning and data processing, is proposed. this LOG-BASIC programming language supplies a good support environment for realizing expert systems for pattern recognition. LOG-BASIC has Prolog's tree structure, and is suited for pattern matching, automatic backtracking, and database management. A LOG-BASIC interpreter has been successfully implemented for the IBM-PC/XT and compatible computers.< >
the complexity of efficiently programming massively parallel machines is illustrated by presenting a number of algorithms. these algorithms deal with computational geometry, data histogramming, list manipulation, and ...
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the complexity of efficiently programming massively parallel machines is illustrated by presenting a number of algorithms. these algorithms deal with computational geometry, data histogramming, list manipulation, and other problems or operations that arise in computer vision tasks. All of the algorithms presented use a divide-and-conquer strategy, and they all use routines that solve a problem of size M using a machine size N, where M >
A set of multispectral image context classification techniques are discussed which are based on a recursive algorithm for optimal estimation of the state of a two-dimensional discrete Markov random field. the three re...
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A set of multispectral image context classification techniques are discussed which are based on a recursive algorithm for optimal estimation of the state of a two-dimensional discrete Markov random field. the three recursive algorithms are forms of dynamic programming. Because the estimation equations of the recursive algorithm are quite simple, the computation complexity of the approach is low. It is shown that recursive contextual classification can improve classification performance, as compared to noncontextual classification. In addition, this algorithm has the advantage over other techniques in that it handles multispectral data naturally and simultaneously.< >
A speech feature analysis system, based on a dynamic programming match algorithm, is described. the system evaluates speech feature extraction methods and distance measure methods by two kinds of error-rate: overstep ...
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ISBN:
(纸本)0818608781
A speech feature analysis system, based on a dynamic programming match algorithm, is described. the system evaluates speech feature extraction methods and distance measure methods by two kinds of error-rate: overstep boundary error-rate and nearest neighbor error-rate. By means of the system, the performances of some speech feature representation methods and distance measure methods are evaluated for two different speech sets. the experimental results indicate that cepstrum is the best speech feature and that the relative distance measure methods are the absolute value distance and bandpass weighted cepstral distance methods.< >
A speaker-dependent pattern-matching approach to connected word recognition for Chinese is presented. First, a method of adaptive energy normalization is applied to the speech spectrum, and a sound stimulus parameter ...
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ISBN:
(纸本)0818608781
A speaker-dependent pattern-matching approach to connected word recognition for Chinese is presented. First, a method of adaptive energy normalization is applied to the speech spectrum, and a sound stimulus parameter is used to compress the normalized spectrum. then, using a set of isolated word tokens as the reference patterns, a simplified dynamic programming-based matching strategy using a fast dynamic-time-warping alignment procedure is described. Experimental results for the recognition of a Chinese digit string (of unknown variable length from 2 to 5 digits), for two kinds of pronunciation (in standard Chinese and in the way used in telecommunication), are given. the correct string recognition rate is 96.8% and 97.6%, respectively.< >
An online recognition method, called the candidate lattice method, is described for free-format written Japanese character strings, which may contain characters with separated constituents or overlapping characters. T...
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An online recognition method, called the candidate lattice method, is described for free-format written Japanese character strings, which may contain characters with separated constituents or overlapping characters. the method conducts segmentation and recognition of individual character-candidates, and applies linguistic information to determine the most probable character string to achieve high recognition rates. Special hardware designed to realize a real-time recognition system is also introduced. the method, used on special hardware, attained a segmentation rate of 98.8% and an overall recognition rate of 98.7% for 105 samples.< >
the design of architectures is presented for knowledge-based image diagnosis systems (KIDS). Two basic constructs (knowledge sources and knowledge processors) are first presented as modeling the capabilities involved ...
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the design of architectures is presented for knowledge-based image diagnosis systems (KIDS). Two basic constructs (knowledge sources and knowledge processors) are first presented as modeling the capabilities involved in the tasks of problem modeling and solving. these constructs are then specialized to fit the image-interpretation problem. the architecture is conceived as a network of agents, each responsible for a well-delimited task. the agents cooperate in solving the problem at hand. It is obtained by distributing the knowledge, expertise, and control abilities. Examples are provided in the field of biomedicine (cyto- and histopathology).< >
To obtain the optimal use of context, an edge detection scheme is introduced which uses the context of the whole image. the edge context for each pixel is the set of all row-monotonically-increasing paths through the ...
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To obtain the optimal use of context, an edge detection scheme is introduced which uses the context of the whole image. the edge context for each pixel is the set of all row-monotonically-increasing paths through the pixel. the edge detector assigns to a pixel the edge state having the highest edge probability among all the paths. Experiments indicate the validity of the edge detector. A comparison withthe performance of the context-free second-directional derivative zero-crossing edge operator shows that the context-dependent edge detector is superior.< >
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