Diff for "Main/SS11_SeminarHotTopicsML"

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Block-Seminar "Hot Topics in Machine Learning"

Termine und Informationen

Erster Termin für Themenvergabe	Mittwoch, 18.05.2011, 10:00-12:00 Uhr, Raum FR 6046
Weitere Termine und Raum	Blockseminar am 4./5.7.2011 von 10:00 bis 17:00 Uhr im Raum FR 6046
Verantwortlich	Prof. Dr. Klaus-Robert Müller
Ansprechtpartner(in)	Motoaki Kawanabe, Ph.D Universität Tokio, Paul von Bünau
Sprechzeiten	Nach Vereinbarung
Sprache	Englisch
Anrechenbarkeit	Wahlpflicht LV in den M.Sc. Modulen Maschinelles Lernen 1 & 2

Achtung: Der Termin für die Themenvergabe wurde um eine Woche nach hinten auf den 18.5. verlegt.

Mailing list

Please register in the google group to receive announcements and to ask questions.

Papers

Die Vorträge sollen jeweils 35 Minuten (+ 10 Minuten Diskussion) dauern. Wir legen Wert auf diese Zeitvorgabe und werden Vorträge bei deutlicher Überschreitung abbrechen.

Thema	Betreuer	Student
Stationary Subspace Analysis	Paul von Bünau
Robotics topics	Tobias Lang
painless-conjugate-gradient.pdf	Soeren Sonnenburg
Visual object detection	Motoaki Kawanabe	Sebastian Bach
Image segmentation	Motoaki Kawanabe	Angelina Duka
Normalized Cuts and Image Segmentation	Wojciech Wojcikiewicz
Sparse PCA	Daniel Bartz
Model Evaluation	Katja Hansen
Learning Multiple Tasks with Kernel Methods	Wojciech Wojcikiewicz
Temporal Kernel CCA	Felix Bießmann	Peter Steinnökel
Learning Planning Rules in Noisy Stochastic Worlds	Tobias Lang	Alexander Bikadorov
Object Detection with Discriminatively Trained Part Based Models	Motoaki Kawanabe	Wenbo Xu
Probabilistic Latent Semantic Indexing	Motoaki Kawanabe	Moritz Lawitschka
A Bayesian Hierarchical Model for Learning Natural Scene Categories	Motoaki Kawanabe
Modern Learning Theory (Chap.4)	Marius Kloft	Felix Brockherde
Multiple Kernel Learning	Marius Kloft	Kristof Schütt
Online Learning in Adversarial Environments	Marius Kloft
OPTIMOL: Automatic Online Picture collecTion via Incremental MOdel Learning	Motoaki Kawanabe	Benjamin Mateev
Machine Translation	Irene Winkler	Lukas Poustka

IDA Wiki: Main/SS11_SeminarHotTopicsML (last edited 2011-07-15 14:26:31 by PaulBuenau)

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-||'''Erster Termin für Themenvergabe'''|| Dienstag, 10.05.2011, 10:00-12:00 Uhr, Raum FR 6046 ||
+||'''Erster Termin für Themenvergabe'''|| Mittwoch, 18.05.2011, 10:00-12:00 Uhr, Raum FR 6046 ||
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+Achtung: Der Termin für die Themenvergabe wurde um eine Woche nach hinten auf den 18.5. verlegt. 

=== Mailing list ===

Please register in the [[http://groups.google.com/group/mikiobraun-lehre|google group]] to receive announcements 
and to ask questions.
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-|| [[http://people.cs.uchicago.edu/~rbg/papers/Object-Detection-with-Discriminatively-Trained-Part-Based-Models--Felzenszwalb-Girshick-McAllester-Ramanan.pdf|Visual object detection]] || Motoaki Kawanabe || ||
|| [[http://books.nips.cc/papers/files/nips22/NIPS2009_0084.pdf|Image segmentation]] || Motoaki Kawanabe ||  ||
|| [[http://www.computer.org/cms/Computer.org/Transactions%20Home%20Pages/TPAMI/PDFs/top_ten_4.pdf|Normalized Cuts and Image Segmentation]] || Wojciech Wojcikiewicz || ||
|| [[http://www.jmlr.org/papers/volume9/aspremont08a/aspremont08a.pdf|sparse PCA]] || Daniel Bartz|| ||
+|| [[http://people.cs.uchicago.edu/~rbg/papers/Object-Detection-with-Discriminatively-Trained-Part-Based-Models--Felzenszwalb-Girshick-McAllester-Ramanan.pdf|Visual object detection]] || Motoaki Kawanabe || Sebastian Bach ||
|| [[http://books.nips.cc/papers/files/nips22/NIPS2009_0084.pdf|Image segmentation]] || Motoaki Kawanabe || Angelina Duka ||
|| [[http://www.computer.org/cms/Computer.org/Transactions%20Home%20Pages/TPAMI/PDFs/top_ten_4.pdf|Normalized Cuts and Image Segmentation]] || Wojciech Wojcikiewicz ||  ||
|| [[http://www.jmlr.org/papers/volume9/aspremont08a/aspremont08a.pdf|Sparse PCA]] || Daniel Bartz|| ||
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-|| [[http://www.springerlink.com/content/e1425487365v2227 | Temporal Kernel CCA ]] || [[mailto:fbiessma@cs.tu-berlin.de|Felix Bießmann]] || ||
|| Learning Planning Rules in Noisy Stochastic Worlds || Tobias Lang ||  ||
|| Object Detection with Discriminatively Trained Part Based Models || ||  ||
|| Probabilistic Latent Semantic Indexing || Motoaki Kawanabe ||  ||
+|| [[http://www.springerlink.com/content/e1425487365v2227 | Temporal Kernel CCA ]] || [[mailto:fbiessma@cs.tu-berlin.de|Felix Bießmann]] || Peter Steinnökel ||
|| Learning Planning Rules in Noisy Stochastic Worlds || Tobias Lang || Alexander Bikadorov ||
|| Object Detection with Discriminatively Trained Part Based Models ||  Motoaki Kawanabe || Wenbo Xu ||
|| Probabilistic Latent Semantic Indexing || Motoaki Kawanabe || Moritz Lawitschka ||
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+Line 39:
+|| [[http://www.amazon.com/Kernel-Methods-Pattern-Analysis-Shawe-Taylor/dp/0521813972|Modern Learning Theory]] (Chap.4) || [[http://user.cs.tu-berlin.de/~mkloft/|Marius Kloft]] || Felix Brockherde ||
|| [[http://www.fml.tuebingen.mpg.de/raetsch/lectures/mkl-tutorial.pdf/at_download/file|Multiple Kernel Learning]] || [[http://user.cs.tu-berlin.de/~mkloft/|Marius Kloft]] || Kristof Schütt ||
|| [[attachment:lect_notes_ol.pdf|Online Learning in Adversarial Environments]] || [[http://user.cs.tu-berlin.de/~mkloft/|Marius Kloft]] || ||
|| OPTIMOL: Automatic Online Picture collecTion via Incremental MOdel Learning || Motoaki Kawanabe || Benjamin Mateev ||
|| Machine Translation || Irene Winkler || Lukas Poustka ||