Keyword : support vector machine (SVM)


Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features
Hatoon S. ALSAGRI Mourad YKHLEF 
Publication:   
Publication Date: 2020/08/01
Vol. E103-D  No. 8 ; pp. 1825-1832
Type of Manuscript:  PAPER
Category: Data Engineering, Web Information Systems
Keyword: 
social media analyticsdepression detectionmachine learning (ML)support vector machine (SVM)naive Bayesdecision treefeature selection
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Ridge-Adding Homotopy Approach for l1-norm Minimization Problems
Haoran LI Binyu WANG Jisheng DAI Tianhong PAN 
Publication:   
Publication Date: 2020/06/01
Vol. E103-D  No. 6 ; pp. 1380-1387
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
l1-norm minimizationhomotopy algorithmsingularitysupport vector machine (SVM)
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Drift-Free Tracking Surveillance Based on Online Latent Structured SVM and Kalman Filter Modules
Yung-Yao CHEN Yi-Cheng ZHANG 
Publication:   
Publication Date: 2018/02/01
Vol. E101-D  No. 2 ; pp. 491-503
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
object trackingsupport vector machine (SVM)latent structured SVMonline learningKalman filterhierarchical search
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Mutual Kernel Matrix Completion
Rachelle RIVERO Richard LEMENCE Tsuyoshi KATO 
Publication:   
Publication Date: 2017/08/01
Vol. E100-D  No. 8 ; pp. 1844-1851
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
kernel matrix completionEM algorithmKullback-Leibler divergencesupport vector machine (SVM)data fusion
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A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features
Kento HASEGAWA Masao YANAGISAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2017/07/01
Vol. E100-A  No. 7 ; pp. 1427-1438
Type of Manuscript:  Special Section PAPER (Special Section on Design Methodologies for System on a Chip)
Category: 
Keyword: 
hardware Trojangate-level netlistmachine learningsupport vector machine (SVM)neural network (NN)
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3D CG Image Quality Metrics by Regions with 8 Viewpoints Parallax Barrier Method
Norifumi KAWABATA Masaru MIYAO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2015/08/01
Vol. E98-A  No. 8 ; pp. 1696-1708
Type of Manuscript:  Special Section PAPER (Special Section on Image Media Quality)
Category: 
Keyword: 
multi-view 3Ddouble stimulus impairment scale (DSIS)gray scaleregion of interest (ROI)support vector machine (SVM)
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Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning
Kenshi SAHO Hiroaki HOMMA Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2014/06/01
Vol. E97-B  No. 6 ; pp. 1223-1233
Type of Manuscript:  PAPER
Category: Sensing
Keyword: 
human imagingclosely-spaced pedestriansimage separationUWB Doppler radarsupervised learningsupport vector machine (SVM)
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Security Evaluation of RG-DTM PUF Using Machine Learning Attacks
Mitsuru SHIOZAKI Kousuke OGAWA Kota FURUHASHI Takahiko MURAYAMA Masaya YOSHIKAWA Takeshi FUJINO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2014/01/01
Vol. E97-A  No. 1 ; pp. 275-283
Type of Manuscript:  Special Section PAPER (Special Section on Cryptography and Information Security)
Category: Hardware Based Security
Keyword: 
physical unclonable function (PUF)arbiter-PUFXOR arbiter-PUFRG-DTM PUFmachine learning attacksupport vector machine (SVM)logistic regression (LR)
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Two Step POS Selection for SVM Based Text Categorization
Takeshi MASUYAMA Hiroshi NAKAGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/02/01
Vol. E87-D  No. 2 ; pp. 373-379
Type of Manuscript:  Special Section PAPER (Special Section on Information Processing Technology for Web Utilization)
Category: 
Keyword: 
text categorizationtext classificationsupport vector machine (SVM)parts of speech (POS)variable cascaded feature selection (VCFS)
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