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Pattern Recognition Applications and Methods: Lecture Notes in Computer Science, cartea 10163

Editat de Ana Fred, Maria De Marsico, Gabriella Sanniti Di Baja
en Limba Engleză Paperback – 3 feb 2017
This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016.
The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.
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Specificații

ISBN-13: 9783319533742
ISBN-10: 3319533746
Pagini: 260
Ilustrații: XVI, 243 p. 111 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.