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» Ink recognition based on statistical classification methods
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EVOW
2007
Springer
14 years 24 days ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...
ECCV
2000
Springer
14 years 10 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
CIARP
2010
Springer
13 years 3 months ago
Color Texture Analysis and Classification: An Agent Approach Based on Partially Self-avoiding Deterministic Walks
Abstract. Recently, we have proposed a novel approach of texture analysis that has overcome most of the state-of-art methods. This method considers independent walkers, with a give...
André Ricardo Backes, Alexandre Souto Marti...
NIPS
2004
13 years 10 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
WCE
2007
13 years 10 months ago
Performance Modelling of the Computational Hardware: A Statistical Approach
—This paper proposes and uses multivariate methods as a tool to evaluate performances of the hardware of microcomputers using their performance data, speed and price. The evaluat...
Ibrahim Akman, Yasar Yesilcay