'Receiver operator characteristic' presentation slideshows

SIFT

SIFT. CSE 455, Winter 2010 February 3 , 2010. Announcements. Project 1b grades out https://catalysttools.washington.edu/gradebook/iansimon/17677 Statistics Mean 88.95 Median 100 Std. Dev. 20.97. Review From Last Time. Image Matching. NASA Mars Rover images

519 views • 32 slides

SIFT

SIFT. CSE 455, Winter 2010 February 3 , 2010. Announcements. Project 1b grades out https://catalysttools.washington.edu/gradebook/iansimon/17677 Statistics Mean 88.95 Median 100 Std. Dev. 20.97. Review From Last Time. Image Matching. NASA Mars Rover images

535 views • 32 slides

Diagnostic Test Studies

553 views • 28 slides

One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses. Krysta Svore Joint Work with Katherine Heller, Angelos Keromytis, and Salvatore Stolfo. Anomaly Detection. We would like to be able to detect anomalous behavior by monitoring Windows registry queries

455 views • 24 slides

Patch Descriptors

331 views • 21 slides

SSC 2006: Case Study #2: Obstructive Sleep Apnea

SSC 2006: Case Study #2: Obstructive Sleep Apnea. Rachel Chu, Shuyu Fan, Kimberly Fernandes, and Jesse Raffa Department of Statistics, University of British Columbia. Objectives .

252 views • 10 slides

Algorithms and Applications in Computer Vision

Algorithms and Applications in Computer Vision. Lihi Zelnik -Manor lihi@ee.technion.ac.il ROC. Precision-Recall. circles. Not circles. Truth:. Not circles. Result:. circles. Precision-Recall. circles. Not circles. Truth:. Not circles. FN. Result:. circles. TP. FP. TN.

231 views • 10 slides