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2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)最新文献

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Automatic detection of English words in Benglish text: A statistical approach 双语文本中英语单词的自动检测:一种统计方法
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481827
Bibekananda Kundu, S. Chandra
{"title":"Automatic detection of English words in Benglish text: A statistical approach","authors":"Bibekananda Kundu, S. Chandra","doi":"10.1109/IHCI.2012.6481827","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481827","url":null,"abstract":"Code-mixing and code-switching create challenges in the field of natural language processing applications like Machine Translation and Speech-to-Speech Translation. Detection of foreign words is very much essential for smooth processing of natural language. A statistical language independent approach for automatic detection of foreign words in mixed language has been introduced in this paper. Initially, the proposed approach has been applied on Benglish text which is combination of Bangla text contains English words. The methodology can be easily adopted for other languages where such code mixing exists. The proposed approach yields an accuracy of 71.82% when tested on sentences collected from Bangla blogs and social networking websites.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124804308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
A semi-supervised change detection for remotely sensed images using ensemble classifier 基于集成分类器的遥感图像半监督变化检测
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481866
M. Roy, Susmita K. Ghosh, Ashish Ghosh
{"title":"A semi-supervised change detection for remotely sensed images using ensemble classifier","authors":"M. Roy, Susmita K. Ghosh, Ashish Ghosh","doi":"10.1109/IHCI.2012.6481866","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481866","url":null,"abstract":"In the present work, a change detection technique in remotely sensed images (under the scarcity of labeled patterns) is proposed where an ensemble of semi-supervised classifiers is used, instead of using a single (weak) classifier. Iterative learning of multiple classifier system is carried out using the selected unlabeled patterns along with a few labeled patterns. Selection of unlabeled patterns for the next training step is done using ensemble agreement. Finally, the unlabeled patterns are assigned to a class by fusing the outcome of base classifiers using a combiner. For the present investigation, multilayer perceptron (MLP), elliptical basis function neural network (EBFNN) and fuzzy k-nearest neighbor (KNN) techniques are used as base classifiers. Experiments are carried out on multi-temporal and multi-spectral images and the results for the proposed methodology are found to be encouraging.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121811606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
CONVEX: Conjunct Verb extraction from parallel corpus: A hybrid approach 从平行语料库中提取连接动词:一种混合方法
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481852
S. Choudhury, Bibekananda Kundu
{"title":"CONVEX: Conjunct Verb extraction from parallel corpus: A hybrid approach","authors":"S. Choudhury, Bibekananda Kundu","doi":"10.1109/IHCI.2012.6481852","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481852","url":null,"abstract":"Conjunct Verbs (CVs) are one of the special forms of Complex Predicates that behave as a single verbal unit but maintain a multiword structure. CVs play an important role in Natural Language Processing applications like Speech to Speech Translation, Machine Translation and lexical resource creation. But due to their distinct construction, detection and extraction of CVs is a challenging task. This paper presents a hybrid approach for mining CVs from parallel corpus combining rule-based and statistical approach. Though the proposed approach has been applied on Bangla-English parallel corpus to extract Bangla CVs, the methodology is equally applicable to other Indian languages of Indo-Aryan family, in presence of parts of speech tagger and sufficient amount of parallel corpus. Evaluation on Bangla-English parallel corpus of 50,000 sentences, the proposed approach yields an accuracy of 76% that can be improved by increasing the number of sentence pairs in the parallel corpus.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125461387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-document summarization using sentence clustering 使用句子聚类的多文档摘要
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481826
Virendrakumar Gupta, Tanveer J. Siddiqui
{"title":"Multi-document summarization using sentence clustering","authors":"Virendrakumar Gupta, Tanveer J. Siddiqui","doi":"10.1109/IHCI.2012.6481826","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481826","url":null,"abstract":"This paper presents an approach to query focused multi document summarization by combining single document summary using sentence clustering. Both syntactic and semantic similarity between sentences is used for clustering. Single document summary is generated using document feature, sentence reference index feature, location feature and concept similarity feature. Sentences from single document summaries are clustered and top most sentences from each cluster are used for creating multi-document summary. We observed an average F-measure of 0.33774 on DUC 2002 multi-document dataset, which is comparable to three best performing systems reported on the same dataset.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117117228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 47
Small professional organizations: An artificially intelligent layered architecture of Human Resources Automation 小型专业组织:人力资源自动化的人工智能分层架构
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481871
Deepanshu Lulla, Deepesh K. Rathore, Sudesh Morey
{"title":"Small professional organizations: An artificially intelligent layered architecture of Human Resources Automation","authors":"Deepanshu Lulla, Deepesh K. Rathore, Sudesh Morey","doi":"10.1109/IHCI.2012.6481871","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481871","url":null,"abstract":"The paper presents an architecture of automatic, intelligent and self-sustaining Attendance/Human Resources Automation system, which can be deployed anywhere including schools, colleges, offices etc. It is composed of four layers namely Real Time Identification Layer (R.T.I. layer), Real Time Data Communication Layer (R.T.D.C Layer), Human Computer Interaction Layer (H.C.I Layer), Database Management and Processing Layer (D.M.P Layer). The automation system is cost-effective and easily maintainable. It combines RFID (based on IEEE 802.15.4 protocol, 2.4 GHz ISM band), GSM and wireless Zigbee (802.15.4) technologies along with MATLAB and Excel. This paper tries to establish a general architecture and a basic overview of how automation of human management in a professional organization can be done. The proposed system's major advantage over the existing systems is wireless communication, its Real Time Data Acquisition and Processing and MATLAB software-hardware interface. The system contains an integrated Real Time Clock chip interfaced to microcontroller from which time of attendance is taken.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121819177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Motor imagery based BCI for a maze game 基于运动意象的脑机接口迷宫游戏
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481848
Simanta Bordoloi, Ujjal Sharmah, S. Hazarika
{"title":"Motor imagery based BCI for a maze game","authors":"Simanta Bordoloi, Ujjal Sharmah, S. Hazarika","doi":"10.1109/IHCI.2012.6481848","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481848","url":null,"abstract":"Electroencephalogram (EEG) signals generated out of motor imagery (MI) can be used for Brain Computer Interfacing (BCI). In order to accomplish this goal, we have classified four different MI tasks using two hybrid features of bispectrum of EEG through a RBF kernel support vector machine. As a demonstration of its applicability for a non-invasive BCI, we design and develop a BCI maze game, where a player plays the game in real time using his brain signals.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124095617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Pitch based selection of optimal search space at runtime: Speaker recognition perspective 基于音高的运行时最佳搜索空间选择:说话人识别视角
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481822
Soma Khan, Joyanta Basu, M. S. Bepari, Rajib Roy
{"title":"Pitch based selection of optimal search space at runtime: Speaker recognition perspective","authors":"Soma Khan, Joyanta Basu, M. S. Bepari, Rajib Roy","doi":"10.1109/IHCI.2012.6481822","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481822","url":null,"abstract":"Large scale speaker recognition (SR) applications demand efficient design strategy with smart optimization technique to enhance the real-time usability. Runtime selection of optimal search space can reduce the computational cost involved in this respect. This paper describes a multilayer design layout with a novel Pitch Based Dynamic Pruning (PBDP) algorithm to optimize VQ and GMM based close-set SR process. The process involves runtime selection of most likely speakers based on percentage of cumulative pitch occurrence frequencies within certain pitch ranges selected from the test utterance followed by a spectral matching using MFCC features within the reduced search space. Experiments on YOHO and NIST2008 corpus reveal that nearly 40% of the total identification time is being saved with slight (below 0.5%) increase or even decrease in average error rate. Proposed pruning method can also be applicable for selection of most likely flexible background in unconstrained cohort normalization task of verification problem.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132428769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
BrailleKey: An alternative Braille text input system: Comparative study of an innovative simplified text input system for the visually impaired BrailleKey:一种可供选择的盲文输入系统:一种创新的视障人士简化文本输入系统的比较研究
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481790
Nikhil Siva Subash, Siddhartha Nambiar, Vishesh Kumar
{"title":"BrailleKey: An alternative Braille text input system: Comparative study of an innovative simplified text input system for the visually impaired","authors":"Nikhil Siva Subash, Siddhartha Nambiar, Vishesh Kumar","doi":"10.1109/IHCI.2012.6481790","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481790","url":null,"abstract":"This paper explores the efficacy of using an alternate text input system for the blind, based entirely on Braille alphabets for touch-screen mobile devices. A comparative study was performed wherein a prototype application developed by the authors was compared against the Voice-Over technology developed for iOS (Apple's mobile operating system. The study conducted on five blind subjects show that this system can be used as a viable alternative to the existing input methods that have been developed for this purpose.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133609553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Event Indicator Function classifier for identifying cell tracking errors and phenotypes 事件指示器功能分类器，用于识别细胞跟踪错误和表型
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481799
R. Konda, R. Chakravorty, S. Challa
{"title":"Event Indicator Function classifier for identifying cell tracking errors and phenotypes","authors":"R. Konda, R. Chakravorty, S. Challa","doi":"10.1109/IHCI.2012.6481799","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481799","url":null,"abstract":"Biologists estimate parameters such as division time, death time, time to differentiate into specialized cell in order to model cell behavior and to develop novel ways to fight diseases such as Cancer, HIV and others. One of the critical steps of such analysis of cells in video microscopy is to follow each of the cells through their generations and collect relevant information. Variability of cell density and dynamics in different video, hamper portability of existing automated cell tracking systems across videos. These errors have to be identified and corrected using human assistance to achieve tracker portability across videos. In this paper, we propose Event Indicator Function (EIF) classifier to predict the tracking errors and cell phenotypes (division and death) frame-by-frame using a set of features (metrics) that are collected during tracking. EIF classifier models the metrics using empirical thresholds to identify the errors and phenotypes. Finally, EIF classifier performance has been evaluated on variety of microscopic videos that differ both in cell density and dynamics, illustrated results show the significance of the proposed classifier.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Assistive learning environment for students with Learning Disabilities 为有学习障碍的学生提供辅助学习环境
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481810
Zainab Pirani, M. Sasikumar
{"title":"Assistive learning environment for students with Learning Disabilities","authors":"Zainab Pirani, M. Sasikumar","doi":"10.1109/IHCI.2012.6481810","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481810","url":null,"abstract":"Students with Learning Disabilities (LD) have diverse difficulties, often hidden or subtle, that affect learning throughout their life. As each LD learner tends to have specific needs that must be addressed; therefore the traditional learning environment cannot cope with the accessible and adaptive constraints of LD. These difficulties can be abridged by providing appropriate learning environment for them. We propose a path forward to build an Assistive Learning Environment (ALE) to enhance the learning experience of LD students in their academic life. The proposed architecture is at its initial stage of the research and may be refined in the future.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114443579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
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