Daniel Eaton NCAP Summer School 

... a brief record of the first CIAR Neural Compuation & Adaptive Perception Summer School, held July 11-16, 2005 at the University of Toronto, Canada. Participants, I apologize if I listed your talk (/research programme) title incorrectly -- kindly let me know and I'll fix it.
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Download my slides (PPT).

Talks

Tuesday, July 12th.

  1. Prof. David LOWE (UBC). Shift Invariant Features for Object Recognition.
  2. Anat LEVIN (Hewbrew U). Colorization Using Optimization.
  3. Anitha KANNAN (Toronto). Generative Models of 2D Scenes.
  4. Gustavo CARNEIRO (UBC). The Distinctiveness, Detectability and Robustness of Local Patches.
  5. Urs KOSTER (Helsinki IIT). Complex Cells From Natural Image Statitics.
  6. Alex LEVINSHTEIN (Toronto). Learning Decompositional Shape Models From Examples.
Wednesday, July 13th.
  1. Prof. Geoffry HINTON (Toronto). Learning Generative Models of Shape.
  2. Michal ROSEN-ZVI (Hewbrew U). The DLR Hierarchy of Approximate Inference.
  3. Simon D. PRINCE (York). Invariance to Nuissance Parameters in Face Recognition.
  4. Matthias BETHGE (Redwood Neurosc I). Steerable Filters From Average Bivector Analysis.
  5. Daniel EATON (UBC). Object Detection Using Local and Global Features.
  6. Vincent CHEUNG (Toronto). ** Video Epitome.
Thursday, July 14th.
  1. Prof. Alan JEPSON (Toronto). Tracking Objects in Images.
  2. Prof. David FLEET (Toronto). Tracking Objects in Images.
  3. Prof. David Mackay (Cambridge). Dasher
  4. Mikhail SIZINTSEV (York). ** Combining Wide and Narrow Angle Cameras for Face Detection
  5. Amit GRUBER (Hebrew U). Incorporating constraints and prior knowledge into factorization algorithms
  6. Ayse Naz ERKAN (NYU). Learning Applied to Ground Robots
  7. Daniel SAUNDERS (Queens). Correspondence Based Representations for Analyzing Lifting Motions
  8. Fei SHA (U Pennsylvania). Discriminative Learning of Quadratic Classifiers
Friday, July 15th.
  1. Prof. Brendan FREY (Toronto). Machine Learning for Images & Video
  2. Michalis TITSIAS (U Edinburgh). ** Flexible Sprites
  3. Dileep GEORGE (Stanford). How does the neo-cortex solve the invariance problem?
  4. Kilian KOEPSELL (Redwood Neurosc I). Temporal Coding in the Visual System
  5. Nicolas LE ROUX (Montreal). Convex and Continuous Neural Networks
  6. Hugo LAROCHELLE (Montreal). Non-Local Manifold Parzen Window
Friday, July 16th.
  1. Prof. Aaron HERTZMANN (Toronto). ML for CG (Animation)
  2. Raquel URTASUN (EP Fed de Lausanne). Priors for 3D People Tracking
  3. Jack WANG (Toronto). Gaussian Process Dynamical Models for Human Motion
  4. Vinod NAIR (Toronto). Learning to do Vision by Inverting a Graphics Model
  5. Aaron CLARKE (York). Optimal Cortical Coding Schemes
  6. Simon ? (Toronto). Energy-based Models for Natural Scene Patches
DNP
  1. Josh SUSSKIND (Toronto). Generative Models of Human Faces, esp. Emotion
  2. Graham TAYLOR (Toronto). ???
  3. David ROSS (Toronto). ???
  4. Xuming HE (Toronto). ???
** denotes that I don't recall the exact presentation title.