<--- Back to Details
First PageDocument Content
Support vector machine / Silicon Valley Microelectronics / Sport utility vehicle / Binary classification / Cross-validation / Kadir–Brady saliency detector / Statistics / Machine learning / Statistical classification
Date: 2011-06-15 15:41:48
Support vector machine
Silicon Valley Microelectronics
Sport utility vehicle
Binary classification
Cross-validation
Kadir–Brady saliency detector
Statistics
Machine learning
Statistical classification

Microsoft Word - CIMSA2011_final.doc

Add to Reading List

Source URL: www.site.uottawa.ca

Download Document from Source Website

File Size: 700,03 KB

Share Document on Facebook

Similar Documents

Statistical classification / Computer vision / Support vector machine / Learning / Histogram of oriented gradients / Silicon Valley Microelectronics / One-shot learning / Stochastic gradient descent / Hinge loss / Machine learning / Statistics / Artificial intelligence

Tabula Rasa: Model Transfer for Object Category Detection Yusuf Aytar Andrew Zisserman Department of Engineering Science University of Oxford {yusuf,az}@robots.ox.ac.uk

DocID: 1g4V9 - View Document

Statistical classification / Support vector machine / Silicon Valley Microelectronics

∝SVM for Learning with Label Proportions Supplementary Material1 Felix X. Yu† Dong Liu† Sanjiv Kumar§

DocID: 1g1yD - View Document

EMC Corporation / RSA / Intel / Private equity / Imperva / Investment banking / Qualys / Risk / Silicon Valley Microelectronics / Financial economics / Finance / Ethics

Q1 2015 Security & Risk Market Snapshot Don More Eric Wagner

DocID: 19ojp - View Document

Support vector machine / Silicon Valley Microelectronics / Sport utility vehicle / Binary classification / Cross-validation / Kadir–Brady saliency detector / Statistics / Machine learning / Statistical classification

Microsoft Word - CIMSA2011_final.doc

DocID: 18wO1 - View Document

Statistical classification / Support vector machine / Kernel methods / Vector / Silicon Valley Microelectronics / Algebra / Statistics / Mathematics

Microsoft Word - Workshop SVM.doc

DocID: 184fl - View Document