Kernel

Kernel for ZIP - corrupted ZIP archive recovery software supports zip files compressed using Winzip or other zip compression utilities. Kernel for ZIP - recovers files from corrupted ZIP archives corrupted due to incomplete download, virus attacks or CRC errors. During repairing process a...

Kernel Yahoo Archive Reader is one such effective archive viewer that has been devised in such an effective manner that it can recover and decode all Yahoo chat archive files (.dat files) that are generally created automatically and stored at the computer’s hard disk. It may be small, but turns...

Kernel for PST Split is an effective PST Split tool that enables the user to split PST file according to any selected criterion within few seconds. Basically, the need to split a PST file emerges when large size of PST file starts affecting the performance of MS Outlook. PST split tool helps to...


Platforms: Windows

Kexec is a mechanism to use linux itself to load a new kernel without going through the BIOS thus minimizing down time. This script kexecs the newest kernel on the system managed by rpm (assumes a Redhat like system).


Platforms: *nix, Python, BSD

Kernel Recovery for Digital Photo is a brilliantly designed tool that helps photo lovers recovering their lost photos. Now days when users have various options to save digital photos, chances of losing photos have also become more. Now, people take pictures from their digital cameras that are...


Platforms: Windows

Kernel Recovery for Novell - NSS Volume has been designed to help recovering the data lost from the hard disk of Novell operating system based computers. Reasons like partition Table Deletion or Corruption, operating system file corruption, volume Table, HotFix Tables are corrupted, pool Table,...


Platforms: Windows

Kernel OST Conversion is a OST to PST conversion software. Software uses more faster conversion algorithm to convert the unusable Microsoft Exchange Offline Storage (.OST) file to a usable Personal Storage (.PST) file that can be used with Microsoft Outlook. Software recovers all components from...


Platforms: Windows

A time-frequency representation which uses a signal-dependent, radially Gaussian kernel that adapts over time. The code provides an excellent ambiguity domain filter for time-frequency analysis.Just run the script main_AOK.m to see it in action. The test signal includes three impulses, two...


Platforms: Matlab

Kernel Access - Corrupt MS Access database repair software tool is designed to reconstruct corrupt access database files which gets corrupted. The software uses LivePreview technology, which quickly extracts the damaged database structure and restores lost tables and data stored in the tables....


Platforms: Windows

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its...


Platforms: Matlab

2 dimenstion Kernel density Estimation with Sheater Jones bandwidth for each variable.Also the Sheater Jones bandwidth selectionmethod will work for the univariate.


Platforms: Matlab

Nemesis is a tiny real time operating system kernel based on x86 PCs.Its main purpose is to serve as a simple but realistic example of an real time OS kernel running on real hardware..the purpose of this is that it can be embedded in small devices lik


Platforms: Windows, Mac, Linux

Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the...


Platforms: Matlab

A Unix-like (Not compleatly Unix-compatible) Kernel. Right now, we have (very limited support) of 80486+ IBM-PC AT compatibles. Written in C, and assembly. No network support planned for the forseeable future.


Platforms: Windows, Mac, Linux

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).


Platforms: Matlab

This function performs kernel version of kmeans algorithm. When the linear kernel (i.e., inner product) is used, the algorithm is equivalent to standard kmeans algorithm.InputK: n x n a semi-definite matrix computed by a kernel function on all sample pairsm: the number of clusters k (1 x 1) or...


Platforms: Matlab

NDGAUSS: create ND gaussian kernel in any derivative order. g = ndgauss(hsize,sigma); [g,xi,yi,..] = ndgauss(hsize,sigma);Inputs: - hsize is N-length of kernel size. - sigma is N-length of standard deviations (gaussian widths).Outputs: - g is the kernel. The size of g is hsize(1) x hsize(2) x ......


Platforms: Matlab

This technique takes advantage of the kernel trick that can be used in PCA. This is a tutorial only and is slow for large data sets.In line 30 the kernel can be changed. Any Kernel should do it.Ref : http://www.eecs.berkeley.edu/~wainwrig/sta...kopf_kernel.pdf


Platforms: Matlab

This function does the decomposition of a separable nD kernel intoits 1D components, such that a convolution with each of thesecomponents yields the same result as a convolution with the full nDkernel, at a drastic reduction in computational cost.SYNTAX:======= [K1,KN,ERR] =...


Platforms: Matlab

% Reliable and extremely fast kernel density estimator for one-dimensional data;% Gaussian kernel is assumed and the bandwidth is chosen automatically;% Unlike many other implementations, this one is immune to problems% caused by multimodal densities with widely separated modes (see example)....


Platforms: Matlab