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Algorithms, Volume 3, Issue 1

2010 March - 6 articles

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Articles (6)

  • Article
  • Open Access
1 Citations
8,095 Views
8 Pages

Base Oils Biodegradability Prediction with Data Mining Techniques

  • Sihem Ben Abdelmelek,
  • Saloua Saidane and
  • Malika Trabelsi

23 February 2010

In this paper, we apply various data mining techniques including continuous numeric and discrete classification prediction models of base oils biodegradability, with emphasis on improving prediction accuracy. The results show that highly biodegradabl...

  • Article
  • Open Access
20 Citations
11,668 Views
16 Pages

InfoVis Interaction Techniques in Animation of Recursive Programs

  • J. Ángel Velázquez-Iturbide and
  • Antonio Pérez-Carrasco

10 February 2010

Algorithm animations typically assist in educational tasks aimed simply at achieving understanding. Potentially, animations could assist in higher levels of cognition, such as the analysis level, but they usually fail in providing this support becaus...

  • Article
  • Open Access
4 Citations
12,640 Views
13 Pages

29 January 2010

If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression. By doing this in the fundamental sou...

(This article belongs to the Special Issue Data Compression)
  • Article
  • Open Access
62 Citations
19,235 Views
19 Pages

19 January 2010

A new breast cancer detection algorithm, named the “Gabor Cancer Detection” (GCD) algorithm, utilizing Gabor features is proposed. Three major steps are involved in the GCD algorithm, preprocessing, segmentation (generating alarm segments), and class...

(This article belongs to the Special Issue Machine Learning for Medical Imaging)
  • Article
  • Open Access
31 Citations
12,019 Views
23 Pages

A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions

  • Greg Slabaugh,
  • Xiaoyun Yang,
  • Xujiong Ye,
  • Richard Boyes and
  • Gareth Beddoe

5 January 2010

We present a complete, end-to-end computer-aided detection (CAD) system for identifying lesions in the colon, imaged with computed tomography (CT). This system includes facilities for colon segmentation, candidate generation, feature analysis, and cl...

(This article belongs to the Special Issue Machine Learning for Medical Imaging)
  • Article
  • Open Access
12 Citations
10,121 Views
20 Pages

4 January 2010

We present in this paper a novel dynamic learning method for classifying polyp candidate detections in Computed Tomographic Colonography (CTC) using an adaptation of the Least Square Support Vector Machine (LS-SVM). The proposed technique, called Wei...

(This article belongs to the Special Issue Machine Learning for Medical Imaging)
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Algorithms - ISSN 1999-4893