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<table>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="KanIshEtAl16">1</a>]
</td>
<td class="bibtexitem">
R. Kannan, M. Ishteva, B. Drake, and H. Park.
Bounded matrix low rank approximation.
In G. R. Naik, editor, <em>Non-negative Matrix Factorization
Techniques</em>, Signals and Communication Technology, pages 89-118. Springer
Berlin Heidelberg, 2016.
[ <a href="bc_bib.html#KanIshEtAl16">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-662-48331-2_4">DOI</a> |
<a href="http://dx.doi.org/10.1007/978-3-662-48331-2_4">http</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="ident-prague">2</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
System identification in the behavioral setting: A structured
low-rank approximation approach.
In E. Vincent et al., editors, <em>Latent Variable Analysis and
Signal Separation</em>, volume 9237 of <em>Lecture Notes in Computer Science</em>,
pages 235-242. Springer, 2015.
[ <a href="bc_bib.html#ident-prague">bib</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/publications/ident-prague-2x1.pdf">pdf</a> |
<a href="bc_abstracts.html#ident-prague">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="Ish15">3</a>]
</td>
<td class="bibtexitem">
M. Ishteva.
Tensors and latent variable models.
In E. Vincent, A. Yeredor, Z. Koldovský, and P. Tichavský,
editors, <em>Latent Variable Analysis and Signal Separation</em>, volume 9237 of
<em>Lecture Notes in Computer Science</em>, pages 49-55. Springer International
Publishing, 2015.
[ <a href="bc_bib.html#Ish15">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-22482-4_6">DOI</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-22482-4_6">http</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="DreGooEtAl15">4</a>]
</td>
<td class="bibtexitem">
P. Dreesen, T. Goossens, M. Ishteva, L. De Lathauwer, and J. Schoukens.
Block-decoupling multivariate polynomials using the tensor block-term
decomposition.
In E. Vincent, A. Yeredor, Z. Koldovský, and P. Tichavský,
editors, <em>Latent Variable Analysis and Signal Separation</em>, volume 9237 of
<em>Lecture Notes in Computer Science</em>, pages 14-21. Springer International
Publishing, 2015.
[ <a href="bc_bib.html#DreGooEtAl15">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-22482-4_2">DOI</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-22482-4_2">http</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="dist-chapter">5</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
Rank constrained optimization problems in computer vision.
In A. Argyriou J. Suykens, M. Signoretto, editor, <em>
Regularization, Optimization, Kernels, and Support Vector Machines</em>, Pattern
Recognition, chapter 13, pages 293-312. Chapman & Hall/CRC Machine
Learning, 2014.
[ <a href="bc_bib.html#dist-chapter">bib</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/publications/dist-chapter.pdf">pdf</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="kpca">6</a>]
</td>
<td class="bibtexitem">
I. Markovsky and K. Usevich.
Nonlinearly structured low-rank approximation.
In Yun Raymond Fu, editor, <em>Low-Rank and Sparse Modeling for
Visual Analysis</em>, pages 1-22. Springer, 2014.
[ <a href="bc_bib.html#kpca">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-12000-3_1">DOI</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/publications/kpca.pdf">pdf</a> |
<a href="bc_abstracts.html#kpca">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="M09c">7</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
Algorithms and literate programs for weighted low-rank approximation
with missing data.
volume 3, chapter 12, pages 255-273. Springer, 2011.
[ <a href="bc_bib.html#M09c">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-642-16876-5_12">DOI</a> |
<a href="http://eprints.soton.ac.uk/268296/2/missing-data-2x1.pdf">pdf</a> |
<a href="http://eprints.soton.ac.uk/268296/7/missing-data.tar">software</a> ]
</td>
</tr>
</table><hr><p><em>This file was generated by
<a href="http://www.lri.fr/~filliatr/bibtex2html/">bibtex2html</a> 1.97.</em></p>