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Pattern Recognition Applications and...
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De Marsico, Maria.
Pattern Recognition Applications and Methods = 6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Pattern Recognition Applications and Methods/ edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.
其他題名:
6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers /
其他作者:
De Marsico, Maria.
面頁冊數:
XVI, 235 p. 108 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Pattern recognition. -
電子資源:
https://doi.org/10.1007/978-3-319-93647-5
ISBN:
9783319936475
Pattern Recognition Applications and Methods = 6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers /
Pattern Recognition Applications and Methods
6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers /[electronic resource] :edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred. - 1st ed. 2018. - XVI, 235 p. 108 illus.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;10857. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.
Control Variates as a Variance Reduction Technique for Random Projections -- Graph Classification with Mapping Distance Graph Kernels -- Domain Adaptation Transfer Learning by Kernel Representation Adaptation -- Optimal Linear Imputation with a Convergence Guarantee -- Condensing Deep Fisher Vectors: To Choose or to Compress? -- Emotion Recognition using Neighborhood Components Analysis and ECG/HRV-based Features -- A Conversive Hidden non-Markovian Model Approach for 2D and 3D Online Movement Trajectory Verification -- Prediction of User Interest by Predicting Product Text Reviews -- Blood Vessel Delineation in Endoscopic Images With Deep Learning -- Semi-Automated Testing of an Architectural Floor Plan Retrieval Framework: Quantitative and Qualitative Comparison of Semantic Pattern-based Matching Approaches -- Characterization of a Virtual Glove for Hand Rehabilitation based on Orthogonal LEAP Controllers -- Congestion Analysis Across Locations based on Wi-Fi Signal Sensing -- Text Line Segmentation in Handwritten Documents based on Connected Components Trajectory Generation.
This book contains revised and extended versions of selected papers from the 6th International Conference on Pattern Recognition, ICPRAM 2017, held in Porto, Portugal, in February 2017. The 13 full papers presented were carefully reviewed and selected from 139 initial submissions. They aim at making visible and understandable the relevant trends of current research on pattern recognition.
ISBN: 9783319936475
Standard No.: 10.1007/978-3-319-93647-5doiSubjects--Topical Terms:
1253525
Pattern recognition.
LC Class. No.: Q337.5
Dewey Class. No.: 006.4
Pattern Recognition Applications and Methods = 6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers /
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Control Variates as a Variance Reduction Technique for Random Projections -- Graph Classification with Mapping Distance Graph Kernels -- Domain Adaptation Transfer Learning by Kernel Representation Adaptation -- Optimal Linear Imputation with a Convergence Guarantee -- Condensing Deep Fisher Vectors: To Choose or to Compress? -- Emotion Recognition using Neighborhood Components Analysis and ECG/HRV-based Features -- A Conversive Hidden non-Markovian Model Approach for 2D and 3D Online Movement Trajectory Verification -- Prediction of User Interest by Predicting Product Text Reviews -- Blood Vessel Delineation in Endoscopic Images With Deep Learning -- Semi-Automated Testing of an Architectural Floor Plan Retrieval Framework: Quantitative and Qualitative Comparison of Semantic Pattern-based Matching Approaches -- Characterization of a Virtual Glove for Hand Rehabilitation based on Orthogonal LEAP Controllers -- Congestion Analysis Across Locations based on Wi-Fi Signal Sensing -- Text Line Segmentation in Handwritten Documents based on Connected Components Trajectory Generation.
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