Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Machine Learning Methods for Visual Object Detection (Omn.Univ.Europ.) (in French)
Type
Physical Book
Publisher
Language
French
Pages
160
Format
Paperback
Dimensions
22.9x15.2x0.9 cm
Weight
0.24 kg.
ISBN13
9783841790682

Machine Learning Methods for Visual Object Detection (Omn.Univ.Europ.) (in French)

Hussain-S (Author) · Omniscriptum · Paperback

Machine Learning Methods for Visual Object Detection (Omn.Univ.Europ.) (in French) - Hussain-S

Cheaper New Book Imported to South Africa
Delivery: 30 Oct - 09 Nov Shipping: 13 to 14 business days.
R 963
Faster New Book Imported to South Africa
Delivery: 20 Oct - 28 Oct Shipping: 5 to 6 business days.
R 1,133
R 963

Synopsis "Machine Learning Methods for Visual Object Detection (Omn.Univ.Europ.) (in French)"

This book presents practical methods for detecting common object classes such as people, cars, cows, chairs, etc., in real world images. In particular, it discusses a range of visual representations (Histograms of Oriented Gradients (HOG), Local Binary Patterns (LBP), Local Ternary Patterns (LTP), Local Quantized Patterns (LQP) and similar techniques), dimensionality reduction (Partial Least Squares and SVM Weight Sparsification) and learning methods (Latent and Non-Latent Support Vector Machines) for the problem of object detection. These methods are presented from a practical perspective and shown to give state-of-the-art performance on a range of challenging public datasets.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in French.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews