Datasets

Subject
Creator
Type
Date

subject: Computer Science

Total is 303 Results
OPCBSPL: Orthogonal polynomials relative to cardinal B-spline weight functions

10.4231/R7NG4NKC

Walter Gautschi ORCID logo

10/28/2016

A stable and efficient discretization procedure is developed to compute recurrence coefficients for orthogonal polynomials whose weight function is a polynomial cardinal B-spline of order greater than, or equal to, one.

B-spline Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials polynomials Walter Gautschi Archives weight functions

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7610X8M

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

02/03/2016

This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification

32-digit values of the first 100 recurrence coefficients for an Airy weight function

10.4231/R7V122R6

Walter Gautschi ORCID logo

10/19/2016

32-digit values of the first 100 recurrence coefficients for the (normalized) weight function w(x)=c*x^(-5/6)e^(-x)Ai((3x/2)^(2/3)) on [0,Inf], c=2^(-1/6)*3^(1/6)/pi^(1/2), where Ai is the Airy function

Airy weight function Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Quadrature and cubature formulas Walter Gautschi Archives

Graph of Flickr Photo-Sharing Social Network Crawled in May 2006

10.4231/D39P2W550

David F Gleich ORCID logo

02/22/2012

Crawl of the Flickr photo-sharing social network from May 2006 returning a graph with 820,878 nodes and 9,837,214 edges. Dataset is distributed as a SMAT file with README file with code to read file in Python and MATLAB.

Communication Computer Science

Controlling the cost and increasing the utility of network measurement infrastructures

10.4231/D3TH8BM5D

Ethan L Blanton

09/13/2012

Dissertation on the cost and utility of network measurement infrastructures, including mechanisms for admission control, identifying measurement patterns that will benefit from inference, and selecting vantage points for wide-scale measurement.

Computer Science Inference Internet

Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data

10.4231/R7N58J9Z

Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He

10/01/2015

A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity

bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning

Scripts for a discrete top-down Markov problem in approximation theory

10.4231/R74Q7RX0

Walter Gautschi ORCID logo

10/04/2016

Matlab scripts for a discrete top-down Markov problem in approximation theory

approximation theory Computer Science Mathematics polynomials Walter Gautschi Archives

SOPQ: Symbolic OPQ

10.4231/R7MW2F3P

Walter Gautschi ORCID logo

02/20/2020

This includes symbolic versions of some of the more important OPQ routines.

Airy weight function Bose-Einstein distribution Chebyshev-type quadratures Classical weight functions Computer Science Fermi Dirac weight Function Freud weight function Gauss-type quadrature rules Hermite weight function Jacobi weight functions K-Bessel weight function Laguerre weight functions Mathematics Matlab OPQ routine Orthogonal polynomials Perl Script quadrature Software source code Walter Gautschi Archives Walter Gautschi Selected Works

Longitudinal password data set varying with policy

10.4231/R72V2D12

Brian Curnett , Melissa J. Dark

06/02/2015

The data set included the participants' identification number (USER ID), the participants' assigned password policy identification number (POLICY ID), and seven iterations of passwords (PASSWORD 1-7).

Computer Science Longitudinal Study Password Analysis Password Policies Passwords Real-World Passwords

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7G73BPN

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

12/12/2016

This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification

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