About
Machine learning approaches to natural language processing problems such as information retrieval, document classification, and information extraction have developed rapidly over recent years. Even more recently, the joint analysis of text and images has become a significant focus for machine learning. This autumn school will summarize the state of the art in machine learning for text analysis and for joint text/image analysis, as presented by researchers active in these fields. It is intended for students who already have a familiarity with machine learning, and is designed for software developers, graduate students, and advanced researchers with an interest in learning more about this area.
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Uploaded videos:
Introduction
Introduction to the Machine Learning over Text & Images - Autumn School by Eric ...
Feb 25, 2007
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14532 Views
Lectures
Text Classification
Feb 25, 2007
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52940 Views
Text Information Extraction
Feb 25, 2007
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33956 Views
Semisupervised Learning Approaches
Feb 25, 2007
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85031 Views
Image Analysis
Feb 25, 2007
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12294 Views
Generative Latent Space Models for Text and Image
Feb 25, 2007
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9288 Views
Undirected Graphical Models for Text & Image
Feb 25, 2007
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6814 Views
Generative Models for Visual Objects and Object Recognition via Bayesian Inferen...
Feb 25, 2007
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68967 Views
Joint Mining of Biological Text and Images: Case Studies
Feb 25, 2007
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6579 Views
Interviews
Interview with Tom Mitchell
Feb 25, 2007
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74258 Views
Interview with Eric Xing
Feb 25, 2007
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9357 Views
Interview with Fei-Fei Li
Feb 25, 2007
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20360 Views
Interview with Robert Murphy
Feb 25, 2007
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4553 Views
Interview with Kamal Nigam
Feb 25, 2007
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6543 Views
Interview with Christos Faloutsos
Feb 25, 2007
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7074 Views