Fast close slides
Lecture 9 Microarray experiments MA plots Normalization of microarray data Tests for differential expression of genes Multiple testing and FDR.
Introduction to Computer Vision CS / ECE 181B Tuesday, March 30, 2004 Prof. B. S. Manjunath ECE/CS Department Course introduction and overview [thanks.
5/13/2015CAM Talk G.Kamberova Computer Vision Introduction Gerda Kamberova Department of Computer Science Hofstra University.
Software Metrics. Questions How big is the program? –Huge!! How close are you to finishing? –We are almost there!! Can you, as a manager, make any useful.
Computer Vision Set: Applications Slides by D.A. Forsyth, C.F. Olson, J. Ponce, L.G. Shapiro Computer Vision and Applications.
Copyright Justin C. Klein Keane @madirish2600 HECTOR Security Intelligence Platform Developed for: University of Pennsylvania School of Arts & Science.
Metrics
Metrics. 2 Learning objectives Software metrics Metrics for various phases Why metrics are needed How to collect metrics How to use metrics.
Computer Vision Chapter 1 Introduction. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed.
Introduction to Computer Vision Sebastian van Delden USC Upstate [email protected].
