Pattern Recognition Applications and Methods (häftad)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
235
Utgivningsdatum
2018-06-16
Upplaga
1st ed. 2018
Förlag
Springer International Publishing AG
Medarbetare
De Marsico, Maria (ed.), di Baja, Gabriella Sanniti (ed.), Fred, Ana (ed.)
Illustratör/Fotograf
Bibliographie
Illustrationer
108 Illustrations, black and white; XVI, 235 p. 108 illus.
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319936468
Pattern Recognition Applications and Methods (häftad)

Pattern Recognition Applications and Methods

6th International Conference, ICPRAM 2017, Porto, Portugal, February 24-26, 2017, Revised Selected Papers

Häftad Engelska, 2018-06-16
689
Skickas inom 3-6 vardagar.
Fri frakt inom Sverige för privatpersoner.
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.
Visa hela texten

Passar bra ihop

  1. Pattern Recognition Applications and Methods
  2. +
  3. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

De som köpt den här boken har ofta också köpt Progress in Pattern Recognition, Image Analysis... av Jose Ruiz-Shulcloper, Gabriella Sanniti Di Baja (häftad).

Köp båda 2 för 1618 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Bloggat om Pattern Recognition Applications and Methods

Innehållsförteckning

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.