Search Results for "algorithm"

...Besides from XOR'ing the message with password after every encryption the key changes pseudorandomly. The password you provide is hashed ( SHA256 ) and saved into the encrypted file to check if the password provided is correct.This algorithm has limitations in general more the numbers of relative characters in the password to plaintext more secure will be the encryption. XOR encrypt has a 3.5 of 5 editors rating from softpedia http://www.softpedia.com/get/Security/Encrypting/XOR-Encrypt.shtml

KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique.

EToS (Efficient Technology of Spike sorting; Extracellular recording To Spike trains) is an open-source system for spike sorting. EToS contains the programs of spike detection, feature extraction and clustering.

BpMatch is an algorithm that, given 2 strings S and T, compute the maximum coverage of T using only subequence or reversed complemented subsequences of S, of minimum length l.

OptFlow is a C++ -based library for motion detection. It implements the classical Lucas-Kanade algorithm and a more advanced algorithm by Proesmans et.al. Several warping and morphing methods using the computed motion fields are also implemented.

callgraph is a project that provides an algorithm for an optimal vertex positioning of any connected graph in 3D, as well as the library and sample application for viewing graphs in 3D.

hgboost is a header-only library which contains a generic hypergraph implementation and provides vertex/node contraction and vertex/edge filtering. It contains algorithms to compute cohesive subgroups, minimum cuts and maximum flows.

PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!

MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.

The algorithm allows any kind of weights (costs, frequencies), including non-numerical ones. The {0, 1, ..., n-1} alphabet is used to encode message. Built tree is n-ary one.The algorithm is based on a set of template classes : Cell(SYMBOL, WEIGHT), Node(

TextCodec can encode texts using simple algorithm and then decode them by using statistical language data.

A C++ library which finds associations within sets of items, using a fast in-memory algorithm.

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

Project developing algorithms and visualization tools (videos, images) using information derived from eye tracking protocols. The state of the art fixation/saccade extraction algorithm will be integrated into a common framework for evaluation.

Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.