'Error measure' diaporamas de présentation

Optimal Estimation of Bottom Friction Coefficient for Free-Surface Flow Models

Optimal Estimation of Bottom Friction Coefficient for Free-Surface Flow Models. Yan Ding, Ph.D. Research Assistant Professor, National Center for Computational Hydroscience and Engineering, The University of Mississippi, University, MS 38677.

1.26k views • 102 slides

Chapter 1 Trajectory Preprocessing

Chapter 1 Trajectory Preprocessing. Wang- Chien Lee Pennsylvania State University University Park, PA USA. John Krumm Microsoft Research Redmond, WA USA. Mobile Commerce. Local weather. Navigation. Location-Based Services. Traffic info. Logistics. Geographical Information

572 views • 40 slides

Artificial Neural Networks - Introduction -

581 views • 37 slides

Design and Perceptual Validation of Performance Measures for Salient Object Segmentation

Design and Perceptual Validation of Performance Measures for Salient Object Segmentation. Vida Movahedi, James H. Elder Centre for Vision Research York University, Canada. Evaluation of Salient Object Segmentation. Source: Berkeley Segmentation Dataset.

486 views • 25 slides

Image Registration

Image Registration. Vlad Magdin York University December 7, 2007. Motivation. Two sources for difference between frames Object motion Camera motion Motion is a powerful cue for detection Can detect moving objects if camera motion is eliminated via frame differencing. Motivation.

298 views • 25 slides

2. Introduction

Multiple Multiplicative Factor Model For Collaborative Filtering. Benjamin Marlin. Richard S. Zemel. marlin@cs.toronto.edu. zemel@cs.toronto.edu. University of Toronto. Department of Computer Science. Toronto, Ontario, Canada. 2. Introduction. 1. Abstract.

299 views • 16 slides

CSC321 Lecture 5 Applying backpropagation to shape recognition

CSC321 Lecture 5 Applying backpropagation to shape recognition. Geoffrey Hinton. Learning by back-propagating error derivatives. Compare outputs with correct answer to get error signal. Back-propagate error signal to get derivatives for learning. outputs. hidden layers.

164 views • 16 slides

Two objectives of surrogate fitting

225 views • 8 slides