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Sites

Computer Vision & Image Processing

  1. Stanford Image Vision System Engineering http://ise.stanford.edu
  2. Computer Vision Group in CMU http://www-2.cs.cmu.edu/~cil/vision.html
  3. USC Computer Vision Group http://iris.usc.edu/USC-Computer-Vision.html
  4. On-Line Compendium of Computer Vision http://www-2.cs.cmu.edu/~cil/v-source.html
  5. Berkely Computer Vision Group http://www.cs.berkeley.edu/projects/vision/vision_group.html
  6. The Computer Vision Industry http://www.cs.ubc.ca/spider/lowe/vision.html
  7. Computer Vision Laboratory UMD www.cfar.umd.edu/cvl/
  8. Vision and Model Group in MIT Media www-white.media.mit.edu/vismod/
  9. Vision Group in MIT AIhttp://www.ai.mit.edu/projects/vision/welcome/
  10. Image Processing and Analysis Group http://noodle.med.yale.edu/
  11. Image Processing Fundamentals http://www.ph.tn.tudelft.nl/Courses/FIP/frames/fip.html
  12. Pattern Recognition and Image Processing Lab at MSU http://www.cse.msu.edu/prip/
  13. The MathWorks - Image Processing Toolbox http://www.mathworks.com/products/image/
  14. Annotated Computer Vision Bibliography: Table of Contents http://iris.usc.edu/Vision-Notes/bibliography/contents.html

Machine Learning

  1. Machine Learning Network Online Information Service http://www.mlnet.org
  2. Kernel machines http://www.kernel-machines.org
  3. Comprehensive machine learning resources from Applications to Tutorials http://www.aic.nrl.navy.mil/~aha/research/machine-learning.html
  4. Boosting research http://www.boosting.org/
  5. Reinforcement Learning Repository http://www.cse.msu.edu/rlr/
  6. Computational Learning Theory http://www.learningtheory.org/
  7. Manifold Learning Resource Page www.cse.msu.edu/~lawhiu/manifold/

Handwrittern Analysis

  1. Document Image Understanding and Optical Character Recognition (OCR) information and resources in UMD http://documents.cfar.umd.edu/
  2. OCR RESOURCE LIST http://www.humboldt1.com/~arbill/ocr/ocr_resource.htm
  3. Pen Computing http://hwr.nici.kun.nl/pen-computing/
  4. Off-line handwritten character recognition: READ http://ais.gmd.de/ROB/read.html
  5. On-line Recognition of Handwritten Characters project at Helsinki University of Technology http://www.cis.hut.fi/vuokkov/hcr/
  6. Written Language Input a book chapter http://cslu.cse.ogi.edu/HLTsurvey/ch2node2.html#Chapter2
  7. Recognizing Handwritten Mathematics http://www.ai.mit.edu/projects/natural-log/