نتایج جستجو برای: construction segments
تعداد نتایج: 271885 فیلتر نتایج به سال:
This paper describes a technique to extract geographic location information from a natural language description of a location. The technique relies on a set of domain specific tags and a set of keywords. The tags are used to identify roads, intersections, and landmarks. Tag combinations are used to discover road segments. The technique is applied to understanding highway construction reports fo...
A computer simulation model of the human speaker is presented which generates sentences in a piecemeal way. The module responsible for Grammatical Encoding (the tactical component) is discussed in detail. Generation is conceptually and lexically guided and may proceed from the bottom of the syntactic structure upwards as well as from the top downwards. The construction of syntactic structures i...
The task of identifying proper names, unknown words and new terms, is an important step in text processing systems. This paper describes a method of using mutual information to collect possible segments as candidates of these three feature types in a document scope. Then the construction and context of each possible feature is examined to determine its type, canonical form and meaning. Adding v...
Sparks is a protocol construction framework that treats records of coherence actions as abstract types. Sparks’ central abstraction is the coherence history, an object that summarizes past coherence actions to shared segments. Histories provide high-level access to coherence guarantees. We motivate our work by discussing synchronization design in distributed shared memory systems, and show how ...
The farthest line segment Voronoi diagram shows properties different from both the closest-segment Voronoi diagram and the farthest-point Voronoi diagram. Surprisingly, this structure did not receive attention in the computational geometry literature. We analyze its combinatorial and topological properties and outline an O(n log n) time construction algorithm that is easy to implement. No restr...
A new method to construct aggregation functions is introduced. These aggregation functions are called biconic aggregation functions with a given diagonal (resp. opposite diagonal) section and their construction method is based on linear interpolation on segments connecting the diagonal (resp. opposite diagonal) of the unit square and the points (0, 1) and (1, 0) (resp. (0, 0) and (1, 1)). Speci...
Detection of fault segments is an essential step for tracking main transverse faults. General observations from field studies as well as attitude measurements can give an overall understanding of the lengths of the segments, but these are not always sufficient to accurately identify and characterize them. In this study, we analyze P–T dihedra variations based on their eigenvalues to detect faul...
A CLV-Based Framework to Prioritize Promotion Marketing Strategies: A Case Study of Telecom Industry
Telecommunications is the todays’ leading industry. Value Added Services (VAS) is considered as one of the most money making segments of Telecom services. The purpose of this paper is to allocate promotional marketing strategies to customer segments. Therefore, a four-phase practical framework is developed to prioritize marketing strategies based on Customer Lifetime Value (CLV). The first phas...
The relative pose estimation of the space target is indispensable for on-orbit autonomous service missions. Line segment detection an important step in estimation. traditional line detectors show impressive performance under sufficient illumination, while it easy to fail complex illumination conditions where too bright or dark. We propose a robust detector applications considering environments....
A question answering (QA) system is a research direction in the field of artificial intelligence and natural language processing (NLP) that has attracted much attention broad development prospects. As one main components QA system, accuracy classification plays key role entire task. Therefore, not only traditional machine learning methods but also today’s deep are widely used deeply studied tas...
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