𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Unsupervised Learning of Higher-Order Statistics

✍ Scribed by Fa-Long Luo; Rolf Unbehauen; Tertulien Ndjountche


Book ID
110373288
Publisher
Springer US
Year
1999
Tongue
English
Weight
69 KB
Volume
9
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Learning higher order correlations
✍ J.G. Taylor; S. Coombes πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 433 KB
Radar imaging using higher order statist
✍ P. Niemand; J. W. Odendaal πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 119 KB

In this article, it is proposed that fourth-order statistics are used for radar imaging rather than second-order statistics. The ad¨antages gained using higher order statistics are demonstrated for both con¨entional Fourier imaging as well as for subspace-based algorithms, e.g., MUSIC. The technique

Image segmentation via local higher orde
✍ Ali Farhadi; Mehrdad Shahshahani πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 577 KB

## Abstract The aim of this work is to present a method for the segmentation of images based on local higher order statistics. The algorithm can be applied for the separation of objects from a texture background and the segmentation of textures. The proposed technique makes no use of a data bank an