With With Solid File System OS edition your application can create a virtual disk, accessible for all or chosen processes. This disk can be made visible to the user, as a regular disk. The virtual disk (storage) is formatted using SolFS file system.
SolFS is is a virtual file system, stored in single file (or database record, file resource, memory block or even cloud storage). SolFS has all necessary functionality, that can be found...
probability density function of basic distributions
This package contains the functions for computing pdf of following distribution:
Nr=number of rows included in smoothing function
Nc=number of columns included in smoothing function
mO=output array, smoothed
Intended as an example of using a...
The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem).
A minimal component kernel that allows components to easily extend each others' functionality. This project aims to develop a twisted-python/zope-interface like pluggable architecture for Ruby.
Function in GaborWavelet.m create a Gabor Wavelet kernel.
GaborExample.m show the Gabor wabeletskernel at five different scales and eight different oritations.
This example demonstrates the use of conjgrad.m
The main advantage of conjgrad.m is that it takes handles to functions which perform the evaluation of the linear operator and its adjoint.
The parameter space can be...
Bivariate Kamma Kernel Density Estimate
for large data set
The function will estimate
Estimate Mutual Information with kernel density function
This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supporting
CUDA. On my machine, it provides up to 170x performance increases...
2 dimenstion Kernel density Estimation with Sheater Jones bandwidth for each variable.
Also the Sheater Jones bandwidth selection
method will work for the univariate.
GPUCONV2 Two dimensional convolution on the GPU using Cuda.
C = GPUCONV2(A, B) performs the 2-D convolution of matrices A and B.
If [ma,na] = size(A), [mb,nb] = size(B), and [mc,nc] = size(C), then
mc = max([ma+mb-1,ma,mb])...
Implementation of the algorithm proposed in the paper:
Morhac, M., 1991 - A Fast Algorithm of Nonlinear Volterra Filtering
Basically, the output of each n-homogeneous subsystem is decomposed into a summation of convolutions....
libferris makes the file system and other hierarchical storage systems easier to use.Other than mounting things as a filesystem, the other core concept of libferris is extraction of interesting metadata from your libferris filesystems.
Phaser is an easy to use front-end for CD burning in Linux.
Phaser was written in Perl, and designed to make CD burning under Linux a lot easier when done from the console. The program itself asks a series of questions, and uses the...
This function NVCC is a wraper for the NVIDIA Cuda compiler NVCC.exe
in combination with a Visual Studio compiler. After this Cuda
files can be compiled into kernels
If you call the code the first time, or with "nvcc...
This C++ library can provide basic functions to applications from small programs used in embedded systems to complex operating system kernels.
OSLib is similar to the Flux OS Toolkit.
OSLib does not force developers to use...
The Portable Coroutine Library (PCL) implements the low level functionality for coroutines.
Coroutines are a very simple cooperative multitasking environment where the switch from one task to another is done explicitly by a function...
Transform a inner product matrix or kernel matrix to a square of distance matrix
LibSysCTr is an utility library that can be used to intercept system call functions on a Linux system. Process monitoring and sandboxing are just two of the potential usages of LibSysCTr.
Internally the LibSysCTr library uses the ptrace...