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<table>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="DreIshSch15c1">1</a>]
</td>
<td class="bibtexitem">
P. Dreesen, M. Ishteva, and J. Schoukens.
Recovering Wiener-Hammerstein nonlinear state-space models using
linear algebra.
In <em>In Proc. of the 17th IFAC Symposium on System Identification
(SYSID 2015)</em>, Beijing, China, 2015.
[ <a href="c_bib.html#DreIshSch15c1">bib</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="DreIshSch15c2">2</a>]
</td>
<td class="bibtexitem">
P. Dreesen, M. Ishteva, and J. Schoukens.
On the full and block-decoupling of nonlinear functions.
In <em>PAMM-Proceedings of Applied Mathematics and Mechanics</em>,
volume 15, pages 739-742, 2015.
[ <a href="c_bib.html#DreIshSch15c2">bib</a> |
<a href="http://dx.doi.org/10.1002/pamm.201510352">DOI</a> |
<a href="http://dx.doi.org/10.1002/pamm.201510352">http</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="isma14">3</a>]
</td>
<td class="bibtexitem">
I. Markovsky and R. Pintelon.
Consistent estimation of autonomous linear time-invariant systems
from multiple experiments.
In <em>In the Proc. of the Conference on Noise and Vibration
Engineering (ISMA)</em>, pages 3265-3268, Leuven, Belgium, September 2014.
[ <a href="c_bib.html#isma14">bib</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/papers/isma14.pdf">pdf</a> |
<a href="c_abstracts.html#isma14">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="mtns14">4</a>]
</td>
<td class="bibtexitem">
M. Ishteva and I. Markovsky.
Tensor low multilinear rank approximation by structured matrix
low-rank approximation.
In <em>In the Proc. of the 21st International Symposium on
Mathematical Theory of Networks and Systems (MTNS 2014)</em>, pages 1808-1812,
Groningen, The Netherlands, July 2014.
[ <a href="c_bib.html#mtns14">bib</a> |
<a href="http://dx.doi.org/978-90-367-6321-9">DOI</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/papers/mtns14.pdf">pdf</a> |
<a href="c_abstracts.html#mtns14">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="Usevich14conf-Decomposing">5</a>]
</td>
<td class="bibtexitem">
K. Usevich.
Decomposing multivariate polynomials with structured low-rank matrix
completion.
In <em>Proc. of the 21th International Symposium on Mathematical
Theory of Networks and Systems</em>, pages 1826-1833, 2014.
[ <a href="c_bib.html#Usevich14conf-Decomposing">bib</a> |
<a href="c_abstracts.html#Usevich14conf-Decomposing">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="VanMulders.etal14conf-Identification">6</a>]
</td>
<td class="bibtexitem">
A. Van Mulders, L. Vanbeylen, and K. Usevich.
Identification of a block-structured model with several sources of
nonlinearity.
In <em>Proc. of the 14th European Control Conference</em>, pages
1717-1722, 2014.
[ <a href="c_bib.html#VanMulders.etal14conf-Identification">bib</a> |
<a href="http://dx.doi.org/10.1109/ECC.2014.6862455">DOI</a> |
<a href="c_abstracts.html#VanMulders.etal14conf-Identification">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="cdc13b">7</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
Approximate identification with missing data.
In <em>In the Proc. of the 52nd IEEE Conference on Decision and
Control</em>, pages 156-161, Florence, Italy, December 2013.
[ <a href="c_bib.html#cdc13b">bib</a> |
<a href="http://dx.doi.org/10.1109/CDC.2013.6759875">DOI</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/papers/cdc13b.pdf">pdf</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/software/cdc13b.tar">software</a> |
<a href="c_abstracts.html#cdc13b">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="cdc13a">8</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
Exact identification with missing data.
In <em>In the Proc. of the 52nd IEEE Conference on Decision and
Control</em>, pages 151-155, Florence, Italy, 2013.
[ <a href="c_bib.html#cdc13a">bib</a> |
<a href="http://dx.doi.org/10.1109/CDC.2013.6759874">DOI</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/papers/cdc13a.pdf">pdf</a> |
<a href="http://homepages.vub.ac.be/~imarkovs/software/cdc13a.tar">software</a> |
<a href="c_abstracts.html#cdc13a">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="IshSonPar13">9</a>]
</td>
<td class="bibtexitem">
M. Ishteva, L. Song, and H. Park.
Unfolding latent tree structures using 4th order tensors.
In <em>In Proc. of the International Conference on Machine Learning
(ICML)</em>, 2013.
[ <a href="c_bib.html#IshSonPar13">bib</a> |
<a href="http://dx.doi.org/">DOI</a> |
<a href="http://jmlr.org/proceedings/papers/v28/ishteva13.pdf">pdf</a> |
<a href="http://jmlr.org/proceedings/papers/v28/ishteva13.html">.html</a> |
<a href="c_abstracts.html#IshSonPar13">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="SonIshParEtAl13">10</a>]
</td>
<td class="bibtexitem">
L. Song, M. Ishteva, A. Parikh, E. Xing, and H. Park.
Hierarchical tensor decomposition of latent tree graphical models.
In <em>International Conference on Machine Learning (ICML)</em>, 2013.
[ <a href="c_bib.html#SonIshParEtAl13">bib</a> |
<a href="http://dx.doi.org/">DOI</a> |
<a href="http://jmlr.org/proceedings/papers/v28/song13.pdf">pdf</a> |
<a href="http://jmlr.org/proceedings/papers/v28/song13.html">.html</a> |
<a href="c_abstracts.html#SonIshParEtAl13">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="Usevich12conf-Improved">11</a>]
</td>
<td class="bibtexitem">
K. Usevich.
Improved initial approximation for errors-in-variables system
identification.
In <em>Proc. of the 20th Mediterranean Conference on Control and
Automation</em>, pages 198-203, Barcelona, Spain, 2012, July 2012.
[ <a href="c_bib.html#Usevich12conf-Improved">bib</a> |
<a href="http://dx.doi.org/10.1109/MED.2012.6265638">DOI</a> |
<a href="c_abstracts.html#Usevich12conf-Improved">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="mindstorms-med11">12</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
Dynamical systems and control mindstorms.
In <em>In the Proc. of the 20th Mediterranean Conference on Control
and Automation</em>, pages 54-59, Barcelona, Spain, 2012.
[ <a href="c_bib.html#mindstorms-med11">bib</a> |
<a href="http://dx.doi.org/dx.doi.org/10.1109/MED.2012.6265614">DOI</a> |
<a href="http://eprints.soton.ac.uk/271926/1/med11.pdf">pdf</a> |
<a href="c_abstracts.html#mindstorms-med11">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="UM12">13</a>]
</td>
<td class="bibtexitem">
K. Usevich and I. Markovsky.
Structured low-rank approximation as a rational function
minimization.
In <em>In the Proc. of the 16th IFAC Symposium on System
Identification</em>, pages 722-727, Brussels, 2012.
[ <a href="c_bib.html#UM12">bib</a> |
<a href="http://dx.doi.org/10.3182/20120711-3-BE-2027.00143">DOI</a> |
<a href="http://eprints.soton.ac.uk/273000/1/usevich_markovsky_sysid2012.pdf">pdf</a> |
<a href="c_abstracts.html#UM12">Abstract</a> ]
</td>
</tr>
<tr valign="top">
<td align="right" class="bibtexnumber">
[<a name="M12">14</a>]
</td>
<td class="bibtexitem">
I. Markovsky.
How effective is the nuclear norm heuristic in solving data
approximation problems?
In <em>In the Proc. of the 16th IFAC Symposium on System
Identification</em>, pages 316-321, Brussels, 2012.
[ <a href="c_bib.html#M12">bib</a> |
<a href="http://dx.doi.org/10.3182/20120711-3-BE-2027.00125">DOI</a> |
<a href="http://eprints.soton.ac.uk/336088/3/nucnrm-sysid.pdf">pdf</a> |
<a href="http://eprints.soton.ac.uk/336088/2/nucnrm-sysid-code.tar">software</a> |
<a href="c_abstracts.html#M12">Abstract</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>