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General Framework for Subspace Detection

 

Welcome to the home page of the General Framework for Subspace Detection. Here we present a general approach for detecting data alignments (subspaces) in large unordered noisy multidimensional datasets. In contrast to classical techniques such as the Hough transforms, which are designed for detecting a specific type of alignment on a given type of input, our approach is independent of the geometric properties of the alignments to be detected, as well as independent of the type of input data. Thus, it allows concurrent detection of multiple kinds of data alignments, in datasets containing multiple types of data.

This project was developed by me under supervision of professor Manuel Menezes de Oliveira Neto, Ph.D.

Here you find:

- Links to the Pattern Recognition papers;
- A copy of the CTD'2011 paper;
- A copy of the WTD SIBGRAPI'2011 poster; and
- A copy of my Ph.D. dissertation.

Journal Paper
   
Thumbnail image for the
                        work "Handling uncertain data in subspace
                        detection"
Leandro A. F. Fernandes, Manuel M. Oliveira. Handling uncertain data in subspace detection. Pattern Recognition (PR), Elsevier, 47:10, 2014, pp. 3225-3241. [DOI Bookmark] [Paper]
   
Thumbnail image for the
                        work "A general framework for subspace
                        detection in unordered multidimensional
                        data"
Leandro A. F. Fernandes, Manuel M. Oliveira. A general framework for subspace detection in unordered multidimensional data. Pattern Recognition (PR), Elsevier, 45:9, 2012. pp. 3566-3579. [DOI Bookmark] [Paper]
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Conference Paper
   
Thumbnail image for the
                        work "On the generalization of subspace
                        detection in unordered multidimensional
                        data"

Leandro A. F. Fernandes, Manuel M. Oliveira. On the generalization of subspace detection in unordered multidimensional data. Proceedings of 31th Brazilian Computer Society Conference (CSBC 2011), XXIV Theses and Dissertations Contest (CTD), Natal, Brazil, 2011. [Paper]

Bronze badge Third place
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Conference Poster
   
Thumbnail image for the work "On the
                          generalization of subspace detection in
                          unordered multidimensional data"
Leandro A. F. Fernandes, Manuel M. Oliveira. On the generalization of subspace detection in unordered multidimensional data. Workshop of Theses and Dissertations of XXIV SIBGRAPI, August, 2011. pp. 43-48. Available in the conference CD-ROM (ISSN 2237-0064). [Poster] [Paper]

Golden badge Best Image Processing Ph.D. Thesis Award
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Ph.D. Dissertation
   
Thumbnail
                        image for the Ph.D. Thesis "On the
                        generalization of subspace detection in
                        unordered multidimensional data"

On the generalization of subspace detection in unordered multidimensional data. Ph.D. Dissertation under supervision of professor Manuel Menezes de Oliveira Neto, Ph.D. PPGC-UFRGS, August, 2010. [Manuscript]

Golden badge

Best Image Processing Ph.D. Thesis
Workshop of Theses and Dissertations (Certificate)
XXIV Sibgrapi - Conference on Graphics Patterns and Images

Bronze badge

Third place
XXIV
Brazilian Computer Society's Ph.D. Theses Contest (CTD 2011, Certificate)
31th Brazilian Computer Society Conference (CSBC)

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