𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Qualitative vision rules, combining theorems, and derivational algorithms

✍ Scribed by Reinhard Klette

Book ID
105545965
Publisher
Springer US
Year
1995
Tongue
English
Weight
950 KB
Volume
31
Category
Article
ISSN
1573-8337

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Combining boosting and evolutionary algo
Combining boosting and evolutionary algorithms for learning of fuzzy classification rules
✍ Frank Hoffmann πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 247 KB

This paper presents a novel boosting algorithm for genetic learning of fuzzy classiΓΏcation rules. The method is based on the iterative rule learning approach to fuzzy rule base system design. The fuzzy rule base is generated in an incremental fashion, in that the evolutionary algorithm optimizes one

On the advantages of combining different
On the advantages of combining differential algorithms and log-polar vision for detection of self-motion from a mobile robot
✍ JosΓ© A. Boluda; Juan Domingo πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 288 KB

This paper describes the design and implementation on programmable hardware (FPGAs) of an algorithm for the detection of self-mobile objects as seen from a mobile robot. In this context, 'self-mobile' refers to those objects that change in the image plane due to their own movement, and not to the mo