Related Word Extraction Algorithm for Query Expansion – An Evaluation

2010 ◽  
pp. 33-48 ◽  
Author(s):  
Tetsuya Oishi ◽  
Tsunenori Mine ◽  
Ryuzo Hasegawa ◽  
Hiroshi Fujita ◽  
Miyuki Koshimura
Keyword(s):  
Query Expansion ◽  
Related Word ◽  
Extraction Algorithm

A Method for Query Expansion Using the Related Word Extraction Algorithm

2008 ◽  
Author(s):  
Tetsuya Oishi ◽  
Shunsuke Kuramoto ◽  
Tsunenori Mine ◽  
Ryuzo Hasegawa ◽  
Hiroshi Fujita ◽  
...  
Keyword(s):  
Query Expansion ◽  
Related Word ◽  
Extraction Algorithm

GESTURE RECOGNITION SYSTEM FOR NIGERIAN TRIBAL GREETING POSTURES USING SUPPORT VECTOR MACHINE

2020 ◽  
Vol 5 (2) ◽  
pp. 609
Author(s):  
Segun Aina ◽  
Kofoworola V. Sholesi ◽  
Aderonke R. Lawal ◽  
Samuel D. Okegbile ◽  
Adeniran I. Oluwaranti
Keyword(s):  
Support Vector Machine ◽  
Gesture Recognition ◽  
Recognition Rate ◽  
Recognition Task ◽  
Recognition System ◽  
Human Interaction ◽  
Support Vector ◽  
System A ◽  
Extraction Algorithm ◽  
Gaussian Blur

This paper presents the application of Gaussian blur filters and Support Vector Machine (SVM) techniques for greeting recognition among the Yoruba tribe of Nigeria. Existing efforts have considered different recognition gestures. However, tribal greeting postures or gestures recognition for the Nigerian geographical space has not been studied before. Some cultural gestures are not correctly identified by people of the same tribe, not to mention other people from different tribes, thereby posing a challenge of misinterpretation of meaning. Also, some cultural gestures are unknown to most people outside a tribe, which could also hinder human interaction; hence there is a need to automate the recognition of Nigerian tribal greeting gestures. This work hence develops a Gaussian Blur – SVM based system capable of recognizing the Yoruba tribe greeting postures for men and women. Videos of individuals performing various greeting gestures were collected and processed into image frames. The images were resized and a Gaussian blur filter was used to remove noise from them. This research used a moment-based feature extraction algorithm to extract shape features that were passed as input to SVM. SVM is exploited and trained to perform the greeting gesture recognition task to recognize two Nigerian tribe greeting postures. To confirm the robustness of the system, 20%, 25% and 30% of the dataset acquired from the preprocessed images were used to test the system. A recognition rate of 94% could be achieved when SVM is used, as shown by the result which invariably proves that the proposed method is efficient.

Query expansion based on global dependency parsing analysis

2013 ◽  
Author(s):  
Qinyuan Xiang ◽  
Weijiang Li ◽  
Hui Deng ◽  
Feng Wang
Keyword(s):  
Query Expansion ◽  
Dependency Parsing

Query expansion with the minimum user feedback by transductive learning

2005 ◽  
Author(s):  
Masayuki Okabe ◽  
Kyoji Umemura ◽  
Seiji Yamada
Keyword(s):  
Query Expansion ◽  
User Feedback ◽  
Transductive Learning

An Answer Extraction Algorithm Based on Syntax Structure Feature Parsing and Classification

2009 ◽  
Vol 31 (4) ◽  
pp. 662-676 ◽  
Author(s):  
Bao-Shun HU ◽  
Da-Ling WANG ◽  
Ge YU ◽  
Ting MA
Keyword(s):  
Structure Feature ◽  
Answer Extraction ◽  
Extraction Algorithm

Query expansion based on context of document and search result

2009 ◽  
Vol 29 (3) ◽  
pp. 852-853
Author(s):  
Hui JIANG ◽  
Xiao-hua YANG
Keyword(s):  
Query Expansion ◽  
Search Result
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