Search Results for "c algorithms" - Page 2
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Showing 51 open source projects for "c algorithms"
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Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
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This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
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SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.
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PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.
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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.
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The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.
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Linflix is an open-source C++ collection of tools and algorithms for processing the Netflix Prize dataset and calculating predictions for missing rating data.
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National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
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Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
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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.
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UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.
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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.
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The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.
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NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.
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Incridge - A Software Tool for Scalable, Parallel, Incremental and Decremental Classification based on Support Vector Machine (SVM) Approximation Algorithms. Possible use include: web usage mining, bioinformatics and spam-classification.
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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.
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The Arbitrarily-Decomposed MPI FFT library is a C subroutine library for the computation of the multidimensional Fast Fourier Transform (FFT) of a distributed grid using the Message-Passing Interface (MPI).
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