Applied Pattern Recognition by Horst Bunke, Abraham Kandel, Mark Last

By Horst Bunke, Abraham Kandel, Mark Last

A sharp elevate within the computing energy of contemporary pcs has prompted the improvement of strong algorithms that could learn complicated styles in quite a lot of facts inside a short while interval. for this reason, it has turn into attainable to use development acceptance thoughts to new initiatives. the most target of this publication is to hide many of the most modern software domain names of trend popularity whereas offering novel strategies which have been built or personalized in these domains.

Show description

Read Online or Download Applied Pattern Recognition PDF

Best mathematical & statistical books

Computer Networks: 22nd International Conference, CN 2015, Brunów, Poland, June 16-19, 2015. Proceedings

This ebook constitutes the completely refereed court cases of the 22st foreign convention on machine Networks, CN 2015, held in Brunów, Poland, in June 2015. The forty two revised complete papers offered have been conscientiously reviewed and chosen from seventy nine submissions. The papers in those complaints hide the subsequent subject matters: laptop networks, allotted desktops, communications and teleinformatics.

Exploring Research Frontiers in Contemporary Statistics and Econometrics: A Festschrift for Léopold Simar

This booklet collects contributions written by means of recognized statisticians and econometricians to recognize Léopold Simar’s far-reaching clinical influence on facts and Econometrics all through his occupation. The papers contained herein have been provided at a convention inLouvain-la-Neuve in could 2009 in honor of his retirement.

Modeling Discrete Time-to-Event Data

This ebook specializes in statistical equipment for the research of discrete failure instances. Failure time research is without doubt one of the most vital fields in statistical learn, with purposes affecting a variety of disciplines, specifically, demography, econometrics, epidemiology and medical learn.

Extra info for Applied Pattern Recognition

Example text

Pitas. Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication. Pattern Analysis and Machine Intelligence, 23(7):735–746, 2001 73. J. Terrillon, M. Shirazi, M. Sadek, H. Fukamachi, and S. Akamatsu. Invariant face detection with support vector machines. In Proceedings of ICPR, 2000 74. M. Turk and A. Pentland. Face recognition using eigenfaces. In Proceedings of CVPR, pages 586–591, 1991 75. G. Wang and E. Sung. Pattern Recognition Letters, 20:1053– 1068, 1999 76.

However, the algorithm totally ignores the photometric changes and thus the result image lacks details such as the wrinkles on the forehead. An attempt of including photometric changes is made in [34]. Assume that all images A, A , and B are geometrically aligned. Using the Lambertian reflectance model, the authors show that the relationship: Facial Image Processing B (u, v) = B(u, v) · 35 A (u, v) A(u, v) holds for each image position (u, v). It tells us how B is photometrically related to B in a way so that the same geometric changes between A and A are done between B and B .

Collobert. A fast and accurate face detector based on neural networks. Pattern Analysis and Machine Intelligence, 22(1): 42–53, 2001 26. C. Garcia and G. Tziritas. Face detection using quantized skin color regions merging and wavelet packet analysis. IEEE Transactions on Multimedia, 1(3):264–277, 1999 27. V. Govindaraju. Locating human faces in photographs. International Journal of Computer Vision, 19(2):129–146, 1996 28. V. N. B. Sher. A computational model for face location. In Proceedings of the International Conference on Computer Vision, pages 718–721, 1990 29.

Download PDF sample

Rated 4.33 of 5 – based on 17 votes