'Affine invariant' presentation slideshows

Introduction to Algorithmic Trading Strategies Lecture 7

Introduction to Algorithmic Trading Strategies Lecture 7. Portfolio Optimization. Haksun Li haksun.li@numericalmethod.com www.numericalmethod.com. Outline. Sharpe Ratio Problems with Sharpe Ratio Omega Properties of Omega Portfolio Optimization. References.

651 views • 54 slides

Diffusion Tensor Processing with Log-Euclidean Metrics

662 views • 46 slides

Overview

Overview. Introduction to local features Harris interest points + SSD, ZNCC, SIFT Scale & affine invariant interest point detectors Evaluation and comparison of different detectors Region descriptors and their performance. Scale invariance - motivation.

652 views • 45 slides

Overview

Overview. Introduction to local features Harris interest points + SSD, ZNCC, SIFT Scale & affine invariant interest point detectors Evaluation and comparison of different detectors Region descriptors and their performance. Scale invariance - motivation.

451 views • 45 slides

Perception for Robot Detection

Perception for Robot Detection. 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking No Collisions with others. Goal. Robust Robot Detection Long Range Short Range. Long Range C urrent M ethod ? Heuristic Color-Based .

671 views • 43 slides

Feature matching and tracking Class 5

402 views • 40 slides

Features, Feature descriptors, Matching

594 views • 38 slides

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework

8th International Conference on M edical I mage C omputing and C omputer A ssisted I ntervention, Oct 26 to 30, 2005. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. Vincent Arsigny, Pierre Fillard, Xavier Pennec, Nicholas Ayache.

479 views • 36 slides

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework

8th International Conference on M edical I mage C omputing and C omputer A ssisted I ntervention, Oct 26 to 30, 2005. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. Vincent Arsigny, Pierre Fillard, Xavier Pennec, Nicholas Ayache.

473 views • 36 slides

Automatic Matching of Multi-View Images

Automatic Matching of Multi-View Images. Ed Bremer University of Rochester. References. [1] Mikolajczyk, K., Schmid, C., 2004, A performance evaluation of local descriptors, Submitted to PAMI, October 2004, http://lear.inrialpes.fr/pubs/2004/MS04a

513 views • 34 slides