✦ LIBER ✦

A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers

✍ Scribed by Senjian An; Wanquan Liu; Svetha Venkatesh; Ronny Tjahyadi

Publisher: Springer US
Year: 2006
Tongue: English
Weight: 184 KB
Volume: 24
Category: Article
ISSN: 1370-4621
DOI: 10.1007/s11063-006-9016-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A feature-based algorithm for detecting

A feature-based algorithm for detecting and classifying production effects

✍ Ramin Zabih; Justin Miller; Kevin Mai 📂 Article 📅 1999 🏛 Springer US 🌐 English ⚖ 583 KB

Development and evaluation of fast branc

Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments

✍ Lik-Kwan Shark; Andrey A. Kurekin; Bogdan J. Matuszewski 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 807 KB

A fast algorithm for a k-NN classifier b

A fast algorithm for a k-NN classifier based on the branch and bound method and computational quantity estimation

✍ Shin'ichiro Omachi; Hirotomo Aso 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 173 KB 👁 3 views

The nearest neighbor rule or k-nearest neighbor rule is a technique of nonparametric pattern recognition. Its algorithm is simple and the error is smaller than twice the Bayes error if there are enough training samples. However, it requires an enormous amount of computation, proportional to the numb