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Tutorials about Visual Recognition and Machine Learning
The “ENS/INRIA Visual Recognition and Machine Learning Summer School 2011” has publicly available the reading materials, seminar presentations, and source code used in the event. These are characterized by a high quality, and have been elaborated by important experts in the field, such as:
This is a list of things that you can find in the online materials of the summer school [Link]:
- Materials for practical sessions:
- Image classification, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman.
- Category-level localization: Face detection, Ivan Laptev, Cordelia Schmid, Josef Sivic.
- Lecture slides:
- Supervised learning, SVMs, kernel methods, Francis Bach.
- Bag-of-Features models for category-level classification, Cordelia Schmid.
- Category-level localization, Andrew Zisserman.
- Learning with structured inputs and outputs, Christoph Lampert.
- Attributes for object recognition, Christoph Lampert.
- Recent progress on visual recognition, Jitendra Malik.
- The future of visual recognition, Jitendra Malik.
- Large scale learning, Léon Bottou.
- Large-scale visual recognition I, Alyosha Efros.
- Large-scale visual recognition II, Florent Perronnin.
- Human actions, Ivan Laptev.
- Using geometric information in recognition and scene analysis, Martial Hebert.
Books related with computer vision and machine learning
Books
- 2012, Bayesian reasoning and machine learning [Link] [code] Free!
- 2012, Image Processing and Analysis with Graphs: Theory and Practice [Link]
- 2012, Computational Colour Science Using MATLAB, 2nd Edition [Link]
- 2012, Computational Intelligence in Image Processing [Link]
- 2012, Programming Computer Vision with Python: Tools and algorithms for analyzing images [Link]
- 2012, An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs [Link]
- 2012, Content-Based Management of Multimedia Databases: Advanced Techniques for Multimedia Analysis and Retrieval [Link]
- 2011, Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Practicalities [Link]
- 2011, Handbook of Face Recognition [Link]
- 2011, Introduction to Biometrics [Link]
- 2011, Computer Vision Using Local Binary Patterns [Link]
- 2011, Computer Vision and Action Recognition [Link]
- 2010, Computer Vision: Algorithms and Applications [Link] Free!
- 2010, Robotics, Vision and Control: Fundamental Algorithms in MATLAB [Link]
- 2009, Handbook of Fingerprint Recognition [Link]
- 2007, Image Processing, Analysis, and Machine Vision [Link]
- 2006, Introduction to Neural Networks Using Matlab 6.0 [Link]
- 2004, Machine Vision: Theory, Algorithms, Practicalities [Link]
- 2001, Sequential Monte Carlo Methods in Practice [Link]
- 1999, Active Contours [Link]
- 1999, Pattern Classification [Link]
Links with more books
- Computer vision online [Link]
