activity
20042015
most citedWeb Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming

147 citations · 645 across the 31 of their papers we have counts for

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Showing cs.AIShow all

17 papers · 1 filter

cs.AI2004★ 33 cited

Image Colour Segmentation by Genetic Algorithms

Vitorino Ramos, Fernando Muge

Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num…

cs.AI2004★ 95 cited

Artificial Ant Colonies in Digital Image Habitats - A Mass Behaviour Effect Study on Pattern Recognition

Vitorino Ramos, Filipe Almeida

Some recent studies have pointed that, the self-organization of neurons into brain-like structures, and the self-organization of ants into a swarm are similar in many respects. If…

cs.AI2004★ 1 cited

Map Segmentation by Colour Cube Genetic K-Mean Clustering

Vitorino Ramos, Fernando Muge

Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num…

cs.AI2004★ 15 cited

Line and Word Matching in Old Documents

A. Marcolino, Vitorino Ramos, Mario Ramalho +1

This paper is concerned with the problem of establishing an index based on word matching. It is assumed that the book was digitised as better as possible and some pre-processing te…

cs.AI2004★ 1 cited

Artificial Neoteny in Evolutionary Image Segmentation

Vitorino Ramos

Neoteny, also spelled Paedomorphosis, can be defined in biological terms as the retention by an organism of juvenile or even larval traits into later life. In some species, all mor…

cs.AI2004★ 1 cited

The Biological Concept of Neoteny in Evolutionary Colour Image Segmentation - Simple Experiments in Simple Non-Memetic Genetic Algorithms

Vitorino Ramos

Neoteny, also spelled Paedomorphosis, can be defined in biological terms as the retention by an organism of juvenile or even larval traits into later life. In some species, all mor…