Sciweavers

178 search results - page 12 / 36
» Robust Centerline Extraction Framework Using Level Sets
Sort
View
ICML
2000
IEEE
14 years 8 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
CN
2006
163views more  CN 2006»
13 years 7 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
DMDW
2000
173views Management» more  DMDW 2000»
13 years 8 months ago
A quality-based framework for physical data warehouse design
Data warehousing is a software infrastructure which supports OLAP applications by providing a collection of tools which allow data extraction and cleaning, data integration and ag...
Mokrane Bouzeghoub, Zoubida Kedad
ICPR
2002
IEEE
14 years 12 days ago
A Robust Approach for Recognition of Text Embedded in Natural Scenes
In this paper, we propose a robust approach for recognition of text embedded in natural scenes. Instead of using binary information as most other OCR systems do, we extract featur...
Jing Zhang, Xilin Chen, Andreas Hanneman, Jie Yang...
CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 7 months ago
Automatic Contour Extraction from 2D Neuron Images
This work describes a novel methodology for automatic contour extraction from 2D images of 3D neurons (e.g. camera lucida images and other types of 2D microscopy). Most contour-ba...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...