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001435197 019__ $$a1243058243
001435197 020__ $$a9789813346765$$q(electronic bk.)
001435197 020__ $$a9813346760$$q(electronic bk.)
001435197 020__ $$z9789813346758$$q(print)
001435197 020__ $$z9813346752
001435197 0247_ $$a10.1007/978-981-33-4676-5$$2doi
001435197 035__ $$aSP(OCoLC)1243543355
001435197 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ
001435197 049__ $$aISEA
001435197 050_4 $$aTK5102.9
001435197 08204 $$a621.382/2$$223
001435197 1112_ $$aInternational Workshop on New Approaches for Multidimensional Signal Processing$$d(2020 :$$cOnline)
001435197 24510 $$aNew approaches for multidimensional signal processing :$$bproceedings of International Workshop, NAMSP 2020 /$$cRoumen Kountchev, Rumen Mironov, Shengqing Li, editors.
001435197 2463_ $$aNAMSP 2020
001435197 260__ $$aSingapore :$$bSpringer,$$c2021.
001435197 300__ $$a1 online resource (271 pages)
001435197 336__ $$atext$$btxt$$2rdacontent
001435197 337__ $$acomputer$$bc$$2rdamedia
001435197 338__ $$aonline resource$$bcr$$2rdacarrier
001435197 4901_ $$aSmart Innovation, Systems and Technologies ;$$vv. 216
001435197 500__ $$a"This book presents the result of the International Workshop "New Approaches forMultidimensional Signal Processing--NAMSP 2020" which was carried out online, during July 9-11, 2020, at the Technical University of Sofia, Bulgaria."
001435197 500__ $$a5.3 Experiments.
001435197 500__ $$aIncludes author index.
001435197 5050_ $$aIntro -- International Program Committee -- Preface -- Contents -- About the Editors -- 1 Computational Intelligence for Brain Tumors Detection -- 1.1 Introduction -- 1.2 Computational Intelligence Paradigms -- 1.3 Computational Intelligence Applications in Intelligent Health Informatics -- 1.4 Deep Learning Paradigm in Health Informatics -- 1.5 Medical Imaging Techniques for Human Brain -- 1.5.1 Medical Aspects -- 1.5.2 Magnetic Resonance Imaging (MRI) -- 1.5.3 General Methodology of Brain Images Processing -- 1.5.4 CI Techniques for Segmentation and Classification Processes
001435197 5058_ $$a1.6 Brain Tumor Diagnosis Using CI Techniques -- 1.6.1 1st Application: Developing CAD Systems for Brain Tumor Diagnosis -- 1.6.2 2nd Application: Classification Using Deep Learning for Brain Tumors -- 1.7 Recommendations and Conclusions -- 1.7.1 Recommendation -- 1.8 Conclusions -- References -- 2 Video-Based Monitoring and Analytics of Human Gait for Companion Robot -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Methodology -- 2.3.1 Pipeline Overview -- 2.3.2 Pose Estimation and Skeleton Extraction -- 2.3.3 Gait and Postural Feature Extraction -- 2.3.4 Time Series Analysis
001435197 5058_ $$a2.4 Experiments and Results -- 2.4.1 Data Collection -- 2.4.2 Experiment Setting -- 2.4.3 Results for Gait Classification -- 2.4.4 Discussion -- 2.4.5 Graphical User Interface and Companion Robot -- 2.5 Conclusions and Future Work -- References -- 3 Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famous 3D Orthogonal Transforms -- 3.1 Introduction -- 3.2 Tensor Decomposition Through 3D Truncated Hierarchical SVD -- 3.2.1 Decomposition of Elementary Tensor of Size 2 × 2 × 2 Through 3D Truncated Hierarchical SVD
001435197 5058_ $$a3.2.2 Decomposition of a Tensor of Size N × N × N Through 3D Truncated Hierarchical SVD -- 3.2.3 Calculation of 3D-THSVD for Third-Order Tensor of Size N × N × N -- 3.3 Tensor Decomposition Based on the 3D Reduced Inverse Spectrum Pyramid -- 3.4 Comparison of the CC of the Famous Deterministic and Statistical Hierarchical 3D Decompositions -- 3.4.1 CC of the Deterministic Hierarchical 3D Decompositions: RISP, SDT, FFT and DWT -- 3.4.2 CC of the Statistical Hierarchical 3D Decompositions HSVD, THSVD, and H-Tucker -- 3.4.3 Comparison Evaluation of the CC for the Analyzed 3D Decompositions
001435197 5058_ $$a3.5 Conclusions -- References -- 4 Tracking of Domestic Animals in Thermal Videos by Tensor Decompositions -- 4.1 Introduction -- 4.2 Evaluated Algorithms -- 4.2.1 Tucker-ALS -- 4.2.2 Tucker-ADAL -- 4.2.3 CP-ALS -- 4.2.4 HoRPCA-S -- 4.2.5 Score Fusion -- 4.3 Experimental Results -- 4.4 Discussion -- 4.5 Conclusion -- References -- 5 Partial Contour Matching Based on Affine Curvature Scale Space Descriptors -- 5.1 Introduction -- 5.2 Affine Curvature Scale Space Curve Matching Algorithm -- 5.2.1 Affine Curvature Scale Space Descriptor (ACSS) -- 5.2.2 Affine Curve Matching (ACM) Algorithm
001435197 506__ $$aAccess limited to authorized users.
001435197 520__ $$aThis book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), held at Technical University of Sofia, Sofia, Bulgaria, during 0911 July 2020. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
001435197 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 6, 2021).
001435197 650_0 $$aSignal processing$$xDigital techniques$$vCongresses.
001435197 650_6 $$aTraitement du signal$$xTechniques numériques$$vCongrès.
001435197 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001435197 655_7 $$aConference papers and proceedings.$$2lcgft
001435197 655_7 $$aActes de congrès.$$2rvmgf
001435197 655_0 $$aElectronic books.
001435197 7001_ $$aKountchev, Roumen.
001435197 7001_ $$aMironov, Rumen.
001435197 7001_ $$aLi, Shengqing.
001435197 77608 $$iPrint version:$$aKountchev, Roumen.$$tNew Approaches for Multidimensional Signal Processing.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813346758
001435197 830_0 $$aSmart innovation, systems, and technologies ;$$v216.
001435197 852__ $$bebk
001435197 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4676-5$$zOnline Access$$91397441.1
001435197 909CO $$ooai:library.usi.edu:1435197$$pGLOBAL_SET
001435197 980__ $$aBIB
001435197 980__ $$aEBOOK
001435197 982__ $$aEbook
001435197 983__ $$aOnline
001435197 994__ $$a92$$bISE