Recognition Using Semantic Constraints
نویسنده
چکیده
Abst rac t This paper descr ibes a means by which a scene can be s p l i t i n t o named subpar ts , and these subparts can i n t e r a c t to produce an i n t e r p r e t a t i on which is a d e s c r i p t i o n of the ob jec ts present in the scene. The procedure is in two par ts a set of l abe ls is assigned to each element of the scene, and these sets are decreased in s ize by examining the a l lowable r e l a t i o n s h i p s between named elements. An a p p l i c a t i o n of the procedure to the domain of surfaces produced by the ranger at Edinburgh U n i v e r s i t y i s presented.
منابع مشابه
Semantic Preserving Data Reduction using Artificial Immune Systems
Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...
متن کاملLanguage-Level Syntactic and Semantic Constraints Applied to Visual Word Recognition
Varions aspects of using language·level syntaCtic and semantic constraints to improve the performance of word recognition algorithms are discnssed. Following a brief presentation of a hypothesis generation model for handwriaen word recognition. varions types of language· level constraints are rev1?ed. Methods that exploit !hese characteristics are discussed including imra-document word conelati...
متن کاملLangnage-Level Syntactic and Semantic Constraints Applied to Visnal Word Recognition
VariOllS aspects of using language-level syntactic and semantic cOUM straints to improve the performance of word recognition algorithms are dis~ cussed, Following a brief presentation of a hypothesis generation model for handwritten word recognition, various types of languageMlevel constraints are reviewed, Methods that exploit these characteristics are discussed including intraMdocument word c...
متن کاملSemantic Constraint and QoS-Aware Large-Scale Web Service Composition
Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requ...
متن کاملNamed Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملSEIMCHA: a new semantic image CAPTCHA using geometric transformations
As protection of web applications are getting more and more important every day, CAPTCHAs are facing booming attention both by users and designers. Nowadays, it is well accepted that using visual concepts enhance security and usability of CAPTCHAs. There exist few major different ideas for designing image CAPTCHAs. Some methods apply a set of modifications such as rotations to the original imag...
متن کامل