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You searched for `+publisher:"University of Texas – Austin" +contributor:("Alter, Orly")`

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University of Texas – Austin

1. Krumpelman, Chase Serhur. Overlapping clustering.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-08-2022

► Analysis of large collections of data has become inescapable in many areas of scientific and commercial endeavor. As the size and dimensionality of these collections…
(more)

Subjects/Keywords: Clustering algorithms

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Krumpelman, C. S. (2010). Overlapping clustering. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-2022

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Krumpelman, Chase Serhur. “Overlapping clustering.” 2010. Thesis, University of Texas – Austin. Accessed June 19, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-2022.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Krumpelman, Chase Serhur. “Overlapping clustering.” 2010. Web. 19 Jun 2019.

Vancouver:

Krumpelman CS. Overlapping clustering. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-2022.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krumpelman CS. Overlapping clustering. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-2022

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

2. Ponnapalli, Sri Priya. Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-08-1635

► The number of high-dimensional datasets recording multiple aspects of a single phenomenon is ever increasing in many areas of science. This is accompanied by a…
(more)

Subjects/Keywords: Generalized singular value decomposition (GSVD); Tensor and matrix computation; Cell cycle; DNA microarrays

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ponnapalli, S. P. (2010). Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1635

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ponnapalli, Sri Priya. “Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing.” 2010. Thesis, University of Texas – Austin. Accessed June 19, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-1635.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ponnapalli, Sri Priya. “Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing.” 2010. Web. 19 Jun 2019.

Vancouver:

Ponnapalli SP. Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1635.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ponnapalli SP. Higher-order generalized singular value decomposition : comparative mathematical framework with applications to genomic signal processing. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1635

Not specified: Masters Thesis or Doctoral Dissertation

3. Muralidhara, Chaitanya. Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments.

Degree: Institute for Cellular and Molecular Biology, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/9818

► We describe the use of a tensor mode-1 higher-order singular value decomposition (HOSVD) in the analyses of alignments of 16S and 23S ribosomal RNA (rRNA)…
(more)

Subjects/Keywords: Tensor decomposition; Mode-1 HOSVD; Ribosomal RNA; rRNA; RNA structure; Comparative sequence analysis; Molecular evolution; Eigenposition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Muralidhara, C. (2010). Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/9818

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Muralidhara, Chaitanya. “Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments.” 2010. Thesis, University of Texas – Austin. Accessed June 19, 2019. http://hdl.handle.net/2152/9818.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Muralidhara, Chaitanya. “Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments.” 2010. Web. 19 Jun 2019.

Vancouver:

Muralidhara C. Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2152/9818.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Muralidhara C. Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/9818

Not specified: Masters Thesis or Doctoral Dissertation

4. Omberg, Larsson Gustaf, 1977-. Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data.

Degree: Physics, 2007, University of Texas – Austin

URL: http://hdl.handle.net/2152/3609

► The structure of large-scale molecular biological data is often of an order higher than that of a matrix, especially when integrating data from different studies.…
(more)

Subjects/Keywords: DNA microarrays; Calculus of tensors; Decomposition (Mathematics); Molecular genetics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Omberg, Larsson Gustaf, 1. (2007). Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/3609

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Omberg, Larsson Gustaf, 1977-. “Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data.” 2007. Thesis, University of Texas – Austin. Accessed June 19, 2019. http://hdl.handle.net/2152/3609.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Omberg, Larsson Gustaf, 1977-. “Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data.” 2007. Web. 19 Jun 2019.

Vancouver:

Omberg, Larsson Gustaf 1. Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data. [Internet] [Thesis]. University of Texas – Austin; 2007. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2152/3609.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Omberg, Larsson Gustaf 1. Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data. [Thesis]. University of Texas – Austin; 2007. Available from: http://hdl.handle.net/2152/3609

Not specified: Masters Thesis or Doctoral Dissertation