Subject
Creator
- Courtney Falk 2
- Austin J. Klasa 1
- Austin Klasa 1
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
- Brian Curnett 1
- James Alan Vaught 1
- Melissa J. Dark 1
- Michael G. Zentner 1
- Murat Dundar 1
Type
- Dataset 7
Date
- 2015 7
subject: Computer Science date: 2015
Total is 7 Results
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
SOPQ: Symbolic OPQ
10.4231/R7ZG6Q6T
12/30/2015
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
Daedalus
10.4231/R7736NV6
07/30/2015
Public cloud risk assessment tool.
Computer Science Information Security Java Modeling Public cloud providers Risk assessment software Source Code
Daedalus
10.4231/R7SX6B5R
Austin J. Klasa , Courtney Falk
08/19/2015
Public cloud risk assessment tool.
Computer Science Information Security Java Modeling Public cloud providers Risk assessment software Source Code
HUBbub 2013 Survey Data
10.4231/R7JD4TQM
08/31/2015
A CSV and accompanying HTML zip file of data taken at a survey about data sharing during HUBbub 2013.
Source code for the paper Polynomial Fitting Known Plaintext Attack
10.4231/R7GH9FWM
11/20/2015
This file contains C++ source code for the numerical experiments described in the paper Polynomial Fitting Known Plaintext Attack.
Computer Science cryptanalysis encryption Information Security known plaintext attack polynomial fitting
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
Display #
Results 1 - 7 of 7