<--- Back to Details
First PageDocument Content
Information retrieval / Search algorithms / Multivariate statistics / Matrix theory / Hashing / Non-negative matrix factorization / Digital video fingerprinting / Hash function / Search engine indexing / Information science / Mathematics / Linear algebra
Date: 2008-12-03 08:53:57
Information retrieval
Search algorithms
Multivariate statistics
Matrix theory
Hashing
Non-negative matrix factorization
Digital video fingerprinting
Hash function
Search engine indexing
Information science
Mathematics
Linear algebra

Istanbul Technical University at TRECVID 2008 O. Gursoy, B. Gunsel Multimedia Signal Processing and Pattern Recognition Group Department of Electronics and Communications Engineering Istanbul Technical University Maslak/

Add to Reading List

Source URL: www-nlpir.nist.gov

Download Document from Source Website

File Size: 244,56 KB

Share Document on Facebook

Similar Documents

Week 6 (due May 14) Reading: Srednicky, sectionIn this exercise you will apply the Faddeev-Popov procedure to simplify some finite-dimensional integrals over spaces of matrices. Such integrals are known as matrix

Week 6 (due May 14) Reading: Srednicky, sectionIn this exercise you will apply the Faddeev-Popov procedure to simplify some finite-dimensional integrals over spaces of matrices. Such integrals are known as matrix

DocID: 1v5Qz - View Document

Geometry of Neural Network Loss Surfaces via Random Matrix Theory  Jeffrey Pennington 1 Yasaman Bahri 1 Abstract Understanding the geometry of neural network

Geometry of Neural Network Loss Surfaces via Random Matrix Theory Jeffrey Pennington 1 Yasaman Bahri 1 Abstract Understanding the geometry of neural network

DocID: 1v21M - View Document

Understanding and Improving Deep Learning with Random Matrix Theory Jeffrey Pennington Google Brain, NYC  November 8, 2017

Understanding and Improving Deep Learning with Random Matrix Theory Jeffrey Pennington Google Brain, NYC November 8, 2017

DocID: 1uOTm - View Document

Week 6 (due Feb. 19) Reading: Srednicki, sectionsNB: In the following problems it is better to use FeynCalc package for Mathematica than to do gamma-matrix traces by hand. See http://www.feyncalc.org/ for detaile

Week 6 (due Feb. 19) Reading: Srednicki, sectionsNB: In the following problems it is better to use FeynCalc package for Mathematica than to do gamma-matrix traces by hand. See http://www.feyncalc.org/ for detaile

DocID: 1uHIP - View Document

Compressed Sensing Theory Projection Matrix Theory

Compressed Sensing Theory Projection Matrix Theory

DocID: 1uwVY - View Document