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IJPRAI
2002
93views more  IJPRAI 2002»
15 years 2 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
118
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TMI
1998
140views more  TMI 1998»
15 years 2 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
ICRA
2010
IEEE
211views Robotics» more  ICRA 2010»
15 years 27 days ago
A saliency-based approach to boost trail detection
— This paper presents a saliency-based solution to boost trail detection. The proposed model builds on the empirical observation that trails are usually conspicuous structures in...
Pedro Santana, Nelson Alves, Luís Correia, ...
159
Voted
KES
2010
Springer
15 years 9 days ago
Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques
Exploratory Learning Environments (ELEs) allow learners to approach a problem in different ways; they are particularly suitable for ill-defined problems where knowledge is less str...
Mihaela Cocea, George D. Magoulas
CVPR
2012
IEEE
13 years 4 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann