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-------- Mensaje reenviado --------
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<td>Re: [Novedades_inco] Fwd: Charla sobre Clustering - M.
Tepper - martes 21/11-16hs (CAMBIO DE FECHA)</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Fecha: </th>
<td>Mon, 13 Nov 2017 11:45:45 -0300</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">De: </th>
<td>Lorena Etcheverry <a class="moz-txt-link-rfc2396E" href="mailto:lorenae@fing.edu.uy"><lorenae@fing.edu.uy></a></td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Para: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:novedades_inco@fing.edu.uy">novedades_inco@fing.edu.uy</a></td>
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<pre wrap="">ATENCIÃN: La charla se mueve para el lunes 20/11 para evitar una
colisión con los festejos de los primeros 50 años del INCO.
"Clustering is semidefinitely not that hard", lunes 20/11 a las 16hs.
Sala de seminarios del Instituto de FÃsica (7mo piso FING)
Favor reenviar (nuevamente).
m-
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<div class="moz-cite-prefix">On 11/13/17 10:35, Lorena Etcheverry
wrote:<br>
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cite="mid:76e28f24-4e6d-0c2e-2760-1fbb1a3101cc@fing.edu.uy"
type="cite">
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<p>Estimados</p>
<p>reenvio información de charla.</p>
<p>saludos!</p>
<p>Lorena<br>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Subject:
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<td>Charla sobre Clustering - M. Tepper - martes
21/11-16hs</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date:
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<td>Mon, 13 Nov 2017 10:04:37 -0300</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">From:
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<td>Mauricio Delbracio <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:mdelbra@gmail.com"><mdelbra@gmail.com></a></td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">To:
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<td>todos iie <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:todos_iie@fing.edu.uy"><todos_iie@fing.edu.uy></a>,
Marcelo Fiori - IIE - IMERL <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:mfiori@fing.edu.uy"><mfiori@fing.edu.uy></a>,
Santiago Castro - InCo <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:sacastro@fing.edu.uy"><sacastro@fing.edu.uy></a>,
Hector Cancela - INCO <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:cancela@fing.edu.uy"><cancela@fing.edu.uy></a>,
Matias Di Martino <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:matiasdm@fing.edu.uy"><matiasdm@fing.edu.uy></a>,
Diego Armentano <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:diego@cmat.edu.uy"><diego@cmat.edu.uy></a>,
Guillermo Moncecchi <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:gmonce@fing.edu.uy"><gmonce@fing.edu.uy></a>,
Paola Bermolen <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:paola@fing.edu.uy"><paola@fing.edu.uy></a>,
lorena etcheverry <a moz-do-not-send="true"
class="moz-txt-link-rfc2396E"
href="mailto:lorenae@fing.edu.uy"><lorenae@fing.edu.uy></a></td>
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<pre>Tenemos el agrado de tener de visita a Mariano Tepper, investigador
del grupo de neurociencia del Flatiron Institute (Simons Foundation) y
amigo de la casa.
Mariano dará una charla sobre su trabajo actual, que muchos de ustedes
(espero) encontrarán de interés.
"Clustering is semidefinitely not that hard", martes 21/11 a las 16hs.
Sala de seminarios del Instituto de FÃsica (7mo piso FING)
Abajo +información. Favor reenviar a interesados.
saludos,
mauricio
---
Title:
Clustering is semidefinitely not that hard
Abstract:
In recent years, semidefinite programs (SDP) have been the subject of
interesting research in the field of clustering. In many cases, these
convex programs deliver the same answers as non-convex alternatives
and come with a guarantee of optimality. In this talk, I will argue
that SDP-KM, a popular semidefinite relaxation of K-means, can learn
manifolds present in the data, something not possible with the
original K-means formulation. To build an intuitive understanding of
SDP-KM's manifold learning capabilities, I will present a theoretical
analysis on an idealized dataset. Additionally, SDP-KM even segregates
linearly non-separable manifolds. As generic SDP solvers are slow on
large datasets, I will also discuss the suitability of efficient
algorithms to SDP-KM. These features render SDP-KM a versatile and
interesting tool for manifold learning while remaining amenable to
theoretical analysis.
Bio:
Mariano Tepper is currently a member of the neuroscience group at the
Center for Computational Biology, Flatiron Institute. His research
focuses on image processing, computer vision, pattern recognition, and
machine learning. Previously, he was a research scientist at Duke
University. Prior to working at Duke, he was postdoctoral research
associate at the University of Minnesota. Tepper holds a Ph.D. and
licentiate degree in computer science from the Universidad de Buenos
Aires in Argentina and an M.S. in applied mathematics from the Ãcole
Normale Supérieure de Cachan in France.
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<pre class="moz-signature" cols="72">--
Dr. Ing. Lorena Etcheverry
Profesor Adjunto
Instituto de Computación
Facultad de IngenierÃa, Universidad de la República
J. Herrera y Reissig 565
Montevideo 11300, Uruguay
tel :: (+ 598) 2711 4244 ext. 1148 </pre>
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