Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to Semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
标签： multimedia Semantic analysis research
上传时间： 2016-11-24
上传用户：虫虫虫虫虫虫
small compiler written in java lexic, syntatic, Semantic, and code generation implemented in java for some of 8086 funcionalities
标签： java implemented generation compiler
上传时间： 2013-12-20
上传用户：Amygdala
Compiler Design：Syntactic and Semantic Analysis
标签： Syntactic Compiler Analysis Semantic Design and
上传时间： 2019-04-03
上传用户：zsx097
This ECMA Standard specifies the form and establishes the interpretation of programs written in the C# programming language. It specifies The representation of C# programs The syntax and constraints of the C# language The Semantic rules for interpreting C# programs The restrictions and limits imposed by a conforming implementation of C#.
标签： the interpretation establishes specifies
上传时间： 2013-12-18
上传用户：chenjjer
http://wordnet.princeton.edu/ WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-Semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for computational linguistics and natural language processing.
标签： developed princeton database WordNet
上传时间： 2013-12-02
上传用户：372825274
AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and Semantic analysis.
标签： contextually-relevant AutoSummary Processing Language
上传时间： 2014-01-08
上传用户：zhangzhenyu
an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the Semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact Semantic meanings are completely understood only in a particular context.
标签： similarity capturing concerned syntactic
上传时间： 2014-01-05
上传用户：wmwai1314
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the Semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact Semantic meanings are completely understood only in a particular context.
标签： similarity presented capturing previous
上传时间： 2013-12-13
上传用户：wcl168881111111
This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in monocular aerial images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial images. Our experiments demonstrate that ground-level Semantic information (wall estimates) allows to focus the segmentation of the aerial image to find buildings and produce a ground-level Semantic map that covers a larger area than can be built using the onboard sensors.
标签： simultaneously difficulties limitation addresses
上传时间： 2014-06-11
上传用户：waitingfy
We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with Semantic annotations from any photo collection.
标签： substantially photograph technique propose
上传时间： 2016-11-24
上传用户：三人用菜
