Welcome to our book review site go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

The Structurally Optimal Dual Graph Pyramid and Its Application in Image Partitioning
  • Language: en
  • Pages: 222
Graph-Based Representations in Pattern Recognition
  • Language: en
  • Pages: 264

Graph-Based Representations in Pattern Recognition

  • Type: Book
  • -
  • Published: 2013-12-06
  • -
  • Publisher: Springer

This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. The 24 papers presented in this volume were carefully reviewed and selected from 27 submissions. They are organized in topical sections named: finding subregions in graphs; graph matching; classification; graph kernels; properties of graphs; topology; graph representations, segmentation and shape; and search in graphs.

Graph-Based Representations in Pattern Recognition
  • Language: en
  • Pages: 268

Graph-Based Representations in Pattern Recognition

  • Type: Book
  • -
  • Published: 2013-05-02
  • -
  • Publisher: Unknown

None

Progress in Pattern Recognition, Image Analysis and Applications
  • Language: en
  • Pages: 1014

Progress in Pattern Recognition, Image Analysis and Applications

  • Type: Book
  • -
  • Published: 2006-10-14
  • -
  • Publisher: Springer

This book constitutes the refereed proceedings of the 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, held in Cancun, Mexico in November 2006. The 99 revised full papers presented together with three keynote articles were carefully reviewed and selected from 239 submissions. The papers cover ongoing research and mathematical methods.

Structural, Syntactic, and Statistical Pattern Recognition
  • Language: en
  • Pages: 959

Structural, Syntactic, and Statistical Pattern Recognition

  • Type: Book
  • -
  • Published: 2006-08-09
  • -
  • Publisher: Springer

This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006. 38 revised full papers and 61 revised poster papers are included, together with 4 invited papers covering image analysis, character recognition, bayesian networks, graph-based methods and more.

Pattern Recognition and Image Analysis
  • Language: en
  • Pages: 742

Pattern Recognition and Image Analysis

  • Type: Book
  • -
  • Published: 2005-05-13
  • -
  • Publisher: Springer

IbPRIA 2005 (Iberian Conference on Pattern Recognition and Image Analysis) was the second of a series of conferences jointly organized every two years by the Portuguese and Spanish Associations for Pattern Recognition (APRP, AERFAI), with the support of the International Association for Pattern Recognition (IAPR). This year, IbPRIA was hosted by the Institute for Systems and Robotics and the Geo-systems Center of the Instituto Superior Tecn ́ ico and it was held in Estoril, Por- gal. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in pattern recognition and all areas of video, image and signal processing. There wa...

Computer Analysis of Images and Patterns
  • Language: en
  • Pages: 881

Computer Analysis of Images and Patterns

  • Type: Book
  • -
  • Published: 2005-09-27
  • -
  • Publisher: Springer

This volume presents the proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). This conference - ries started about 20 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western and Eastern-block co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The program follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportuni...

Structural, Syntactic, and Statistical Pattern Recognition
  • Language: en
  • Pages: 1186

Structural, Syntactic, and Statistical Pattern Recognition

  • Type: Book
  • -
  • Published: 2004-10-29
  • -
  • Publisher: Springer

This volume contains all papers presented at SSPR 2004 and SPR 2004, hosted by the Instituto de Telecomunicac ̃ ̧oes/Instituto Superior T ́ ecnico, Lisbon, Portugal, August 18-20, 2004. This was the fourth time that the two workshops were held back-to-back. The SSPR was the tenth International Workshop on Structural and Synt- tic Pattern Recognition, and the SPR was the ?fth International Workshop on Statistical Techniques in Pattern Recognition. These workshops have traditi- ally been held in conjunction with ICPR (International Conference on Pattern Recognition), and are the major events for technical committees TC2 and TC1, respectively, of the International Association for Pattern Rec...

Discrete Geometry for Computer Imagery
  • Language: en
  • Pages: 551

Discrete Geometry for Computer Imagery

This book constitutes the refereed proceedings of the 15th IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2009, held in Montréal, Canada, in September/October 2009. The 42 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on discrete shape, representation, recognition and analysis; discrete and combinatorial tools for image segmentation and analysis; discrete and combinatorial Topology; models for discrete geometry; geometric transforms; and discrete tomography.

Deep Learning in Mining of Visual Content
  • Language: en
  • Pages: 117

Deep Learning in Mining of Visual Content

This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks. Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual i...