研究者詳細 - 嶋田　和孝

論文 - 嶋田　和孝

分割表示146 件中 101 - 120 件目／全件表示 >>

Twitter Sentiment Analysis Based on Writing Style 査読有り

Hiroshi Maeda, Kazutaka Shimada and Tsutomu Endo

Proceedings of 8th International Conference on Natural Language Processing JapTAL 2012 2012年10月

On-site likelihood identification of tweets for tourism information analysis 査読有り

Kazutaka Shimada, Shunsuke Inoue, Tsutomu Endo

Proceedings of 3rd IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2012) 2012年09月

A combined method based on SVM and online learning with HOG for hand shape recognition 査読有り

Shimada K., Muto R., Endo T.

Journal of Advanced Computational Intelligence and Intelligent Informatics 16 ( 6 ) 687 - 695 2012年09月

記述言語：英語掲載種別：研究論文（学術雑誌）

In this paper, we propose a combined method for hand shape recognition. It consists of Support Vector Machines (SVMs) and an online learning algorithm based on the perceptron. We apply HOG features to each method. First, our method estimates the hand shape of an input image by using SVMs. Here, an online learning method with the perceptron uses an input image as new training data if the image is effective in relearning in the recognition process. Next, we select a final hand shape from the outputs of SVMs and perceptrons by using the score from SVMs. The combined method with the online perceptron is robust against unknown users because it contains a relearning process for the current user. Therefore applying the online perceptron leads to an improvement in accuracy. We compare the combined method with a method that uses only SVMs. Experimental results show the effectiveness of the proposed method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866617122&origin=inward

A person identification method using a top-view head image from an overhead Camera 査読有り

Nakatani R., Kouno D., Shimada K., Endo T.

Journal of Advanced Computational Intelligence and Intelligent Informatics 16 ( 6 ) 696 - 703 2012年09月

記述言語：英語掲載種別：研究論文（学術雑誌）

In this paper, we describe a novel image-based person identification task. Conventional face-based person identification methods have a low tolerance for occluded situations, such as overlapping of people in an image. We focus on an image from an overhead camera. Using the overhead camera reduces restrictions on the installation location of the camera and solves the problem of occluded images. First, our method identifies a person area in a captured image by using background subtraction. Then, it extracts four features from the area: (1) body size, (2) hair color, (3) hairstyle, and (4) hair whorl. We apply the four features to the AdaBoost algorithm. Experimental results show the effectiveness of our method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866608953&origin=inward

Person Identification Using Top-view Image with Depth Information 査読有り

Daichi Kouno, Kazutaka Shimada, Tsutomu Endo

Proceedings of 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2012) 140 - 145 2012年08月

Developing of Interactive e-Learning System with Dialogue 査読有り

Sayaka Minewaki, Kazutaka Shimada, Tsutomu Endo

Proceedings of ICIS '12 and the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science 272 - 276 2012年05月

Analyzing Tourism Information on Twitter for a Local City 査読有り

Kazutaka Shimada, Shunsuke Inoue, Hiroshi Maeda and Tsutomu Endo

Proceedings of SSNE2011, International Workshop on Innovative Tourism 2011年12月

Multi-aspects review summarization with objective information 査読有り

Kazutaka Shimada, Ryosuke Tadano and Tsutomu Endo

Procedia - Social and Behavioral Sciences: Computational Linguistics and Related Fields 27 140 - 149 2011年12月

Aspect Identification of Sentiment Sentences Using A Clustering Algorithm 査読有り

Masashi Hadano, Kazutaka Shimada and Tsutomu Endo

Procedia - Social and Behavioral Sciences: Computational Linguistics and Related Fields 27 22 - 31 2011年12月

A person identification method using facial, clothing and time features 査読有り

Komatsu K., Shimada K., Endo T.

IWACIII 2011 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Proceedings 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In this paper, we propose a method for personal identification using facial features and context information. The method can overcome a problem of partially occluded images. In the proposal method, facial similarity is calculated by using the CLAFIC method from a face image and the parts in the face, such as the image of eyes. In addition, we focus on clothes of each target person and time information as the context. We apply these features into a scoring method and a machine learning method. In the experiments, we confirmed that proposal method is better than the method using only the face image similarity and the heuristic method based on a scoring.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84874331219&origin=inward

A person identification method using a top-view head image from an overhead camera 査読有り

Nakatani R., Kouno D., Shimada K., Endo T.

IWACIII 2011 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Proceedings 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In this paper, we describe a novel image-based person identification task. Traditional face-based person identification methods have a low tolerance for occluded situation, such as overlapping of people in an image. We focus on an image from an overhead camera. Using the overhead camera reduces a restriction of the installation location of a camera and solves the problem of occluded images. First, our method identifies the person's area in a captured image by using background subtraction. Then, it extracts four features from the area; (1) body size, (2) hair color, (3) hairstyle and (4) hair whorl. We apply the four features into the AdaBoost algorithm. Experimental result shows the effectiveness of our method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84874305692&origin=inward

A combined method based on SVM and online learning with HOG for hand shape recognition 査読有り

Shimada K., Muto R., Endo T.

IWACIII 2011 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Proceedings 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In this paper, we propose a combined method for hand shape recognition. It consists of support vector machines (SVMs) and an online learning algorithm based on the perceptron. We apply HOG features to each method. First, our method estimates a hand shape of an input image by using SVMs. Here the online learning method with the perceptron uses the input image as new training data if the data is effective for relearning in the recognition process. Next, we select the final hand shape from the outputs of the SVMs and perceptron by using the score of SVMs. The combined method deals with a problem about decrease of the accuracy in the case that users change. Applying the online perceptron jointly leads to improvement of the accuracy. We compare the combined method with a method using only SVMs. The experimental result shows the effectiveness of the proposed method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84874341202&origin=inward

Multi-aspects Review Summarization with Objective Information 査読有り

Kazutaka Shimada, Ryosuke Tadano and Tsutomu Endo

Proceedings of Proceedings of the 12th Conference of the Pacific Association for Computational Linguistics 2011年07月

Aspect Identification of Sentiment Sentences Using a Clustering Algorithm 査読有り

Masashi Hadano, Kazutaka Shimada and Tsutomu Endo

Proceedings of Proceedings of the 12th Conference of the Pacific Association for Computational Linguistics 2011年07月

顔特徴とコンテキスト情報に基づく人物識別査読有り

山口純平, 嶋田和孝, 榎田修一, 江島俊朗, 遠藤勉

日本知能情報ファジィ学会誌, 知能と情報 23 ( 2 ) 13 - 21 2011年04月

Interactive Aspect Summarization Using Word-Aspect Relations for Review Documents 査読有り

Kazutaka Shimada ,Masashi Yamaumi,Ryosuke Tadano,Masashi Hadano,Tsutomu Endo

Proceedings of the 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2010) 183 - 188 2010年12月

Multi-aspects review summarization based on identification of important opinions and their similarity 査読有り

Tadano R., Shimada K., Endo T.

PACLIC 24 - Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation 685 - 692 2010年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

The development of theWeb services lets many users easily provide their opinions recently. Automatic summarization of enormous sentiments has been expected. Intuitively, we can summarize a review with traditional document summarization methods. However, such methods have not well-discussed "aspects". Basically, a review consists of sentiments with various aspects. We summarize reviews for each aspect so that the summary presents information without biasing to a specific topic. In this paper, we propose a method for multiaspects review summarization based on evaluative sentence extraction. We handle three features; ratings of aspects, the tf -idf value, and the number of mentions with a similar topic. For estimating the number of mentions, we apply a clustering algorithm. By integrating these features, we generate a more appropriate summary. The experiment results show the effectiveness of our method. © 2010 by Ryosuke Tadano, Kazutaka Shimada, and Tsutomu Endo.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863868523&origin=inward

Interactive aspect summarization using word-aspect relations for review documents 査読有り

Kazutaka S., Masashi Y., Ryosuke T., Masashi H., Tsutomu E.

SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems 183 - 188 2010年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

As the World Wide Web rapidly grows, a huge number of online documents are easily accessible on the Web. We obtain a huge number of review documents that include user's opinions for products. To summarize the opinions is one of the hottest topics in natural language processing. We focus on aspects of a product in the summarization process. First, we identify a relation between aspects and each word in review documents. Our method employs an unsupervised approach for the identification process. The experimental result shows the effectiveness of the method. Next, we generate a summary by using the relations. In our system, users obtain the summary by an interactive approach.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866656025&origin=inward

Combination of 3 types of speech recognizers for anaphora resolution 査読有り

Shimada K., Tanamachi N., Endo T.

PACLIC 24 - Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation 281 - 290 2010年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

In this paper, we propose a method for anaphora resolution in speech understanding for a livelihood support robot. For robust speech recognition, we combine two types of speech recognizers; a large vocabulary continuous speech recognizer (LVCSR) and domain-specific speech recognizers (DSSR). One problem in the anaphora resolution is lack of the antecedent in the outputs. To solve the problem, we introduce 2 types of DSSRs; one medium-scale DSSR and several small DSSRs. In this paper, we describe the basic idea of our multiple speech recognizer first. The selection process in the recognizer is based on the similarity between the LVCSR and each DSSR. Then, by using the outputs from the LVCSR and the medium-scale DSSR, we resolve anaphoric expressions in the current output from a small-scale DSSR. The experimental result shows the effectiveness of our method. © 2010 by Kazutaka Shimada, Noriko Tanamachi, and Tsutomu Endo.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863869152&origin=inward

Combination of 3 types of speech recognizers for anaphora resolution 査読有り

Kazutaka Shimada,Noriko Tanamachi,Tsutomu Endo

Proceedings of the 24nd Pacific Asia Conference on Language, Information and Computation (PACLIC24) 281 - 290 2010年11月

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