<--- Back to Details
First PageDocument Content
Machine learning / Information science / Artificial intelligence / Computer vision / Cybernetics / Shot transition detection / Segmentation / Thresholding / Support vector machine / Image processing / Statistics / Statistical classification
Date: 2006-12-07 11:18:07
Machine learning
Information science
Artificial intelligence
Computer vision
Cybernetics
Shot transition detection
Segmentation
Thresholding
Support vector machine
Image processing
Statistics
Statistical classification

Microsoft Word - CUHK-TRECVID-2006.doc

Add to Reading List

Source URL: www-nlpir.nist.gov

Download Document from Source Website

File Size: 103,41 KB

Share Document on Facebook

Similar Documents

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1uEDY - View Document

Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018

DocID: 1uA0f - View Document

Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

DocID: 1uuGd - View Document

Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École

DocID: 1tZPb - View Document

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1tVBH - View Document