𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fast k-NN classification for multichannel image data

✍ Scribed by Simon Warfield


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
568 KB
Volume
17
Category
Article
ISSN
0167-8655

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A fast classifier for image data
✍ Jack Bryant πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 223 KB
Toward intelligent training of supervise
✍ Giles M. Foody; Ajay Mathur πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 387 KB

Conventional approaches to training a supervised image classification aim to fully describe all of the classes spectrally. To achieve a complete description of each class in feature space, a large training set is typically required. It is not, however, always necessary to have training statistics th

Data acquisition and postprocessing stra
✍ Fernando E. Boada; Joseph S. Gillen; Douglas C. Noll; Gary X. Shen; Keith R. Thu πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 174 KB πŸ‘ 2 views

An efficient scheme for quantitatively mapping the threethe total data acquisition time (DAT). To compensate for T 2 dimensional distribution of the sodium ion in vivo using magnetic signal modulation, TE must be much shorter than the values resonance imaging is described. To make the methodology to

A fast separability-based feature-select
✍ Baofeng Guo; R.I. Damper; Steve R. Gunn; J.D.B. Nelson πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 358 KB

Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of separability measures has been proposed for feature selection. In this paper, we show that there is a general framework based on the criterion of mutual information (MI) that can provide a realistic solu