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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14540 Views
Lectures
Text Classification
Feb 25, 2007
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52947 Views
Text Information Extraction
Feb 25, 2007
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33964 Views
Semisupervised Learning Approaches
Feb 25, 2007
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85044 Views
Image Analysis
Feb 25, 2007
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12298 Views
Generative Latent Space Models for Text and Image
Feb 25, 2007
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9290 Views
Undirected Graphical Models for Text & Image
Feb 25, 2007
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6815 Views
Generative Models for Visual Objects and Object Recognition via Bayesian Inferen...
Feb 25, 2007
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68987 Views
Joint Mining of Biological Text and Images: Case Studies
Feb 25, 2007
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6584 Views
Interviews
Interview with Tom Mitchell
Feb 25, 2007
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74368 Views
Interview with Eric Xing
Feb 25, 2007
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9364 Views
Interview with Fei-Fei Li
Feb 25, 2007
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20364 Views
Interview with Robert Murphy
Feb 25, 2007
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4555 Views
Interview with Kamal Nigam
Feb 25, 2007
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6544 Views
Interview with Christos Faloutsos
Feb 25, 2007
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7076 Views