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* image representations including higher-order features and attributes
* object and scene categorization
* object detection and localization
* image segmentation
* large margin classifiers including multiple kernel learning
* conditional random fields and topic models
 * image representations including higher-order features and attributes
 * object and scene categorization
 * object detection and localization
 * image segmentation
 
* large margin classifiers including multiple kernel learning
 * conditional random fields and topic models

Block-Seminar "Machine Learning for Computer Vision"

Language

English

Termine und Informationen

Erster Termin für Themenvergabe

??, ??, ??, Raum FR 6046

Weitere Termine und Raum

Nach Absprache

Dozent

Motoaki Kawanabe, Ph.D

Sprechzeiten

nach Vereinbarung

Themen

Das Blockseminar wird Artikel der Machine Learning Methoden fuer die Aufgaben in Computer Vision besprechen.

  • image representations including higher-order features and attributes
  • object and scene categorization
  • object detection and localization
  • image segmentation
  • large margin classifiers including multiple kernel learning
  • conditional random fields and topic models

Werden in der Vorbesprechung angegeben.

IDA Wiki: Main/WS09_SeminarMLforCV (last edited 2009-11-26 13:21:04 by MotoakiKawanabe)