Search Results for "image analysis algorithm"

Implementation of algorithm allowing Time Series Forecasting.

JAWS or Just Another Web Scraper, is part of the Data Scraping Softwares developed by SVbook, alongside JATI (Image to Text) and JAVT (Video to Text). JAWS offer easy interface to scrape data from the website using regular expression, text preprocessing, or HTML Agility Pack.

Image processing application focused on mathematical morphology. Unique functionality: filters by reconstruction, multiple structuring element, granulometry, geodetic transformations, hit-and-miss.

DenseBlocks is an unsupervised classification method for n-dimensional numerical data. It creates a multi-dimensional density representation of given training samples, defines clusters accordingly and returns this representation which can further be used to classify related data.

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally...

A proof-of-concept application of the Statistical Protocol IDentification (SPID) algorithm. SPID can detect the application layer protocol (layer 7) by analysing flow (packet sizes etc.) and payload statistics (byte values etc.) from pcap files.

Cloudster is a generic and parallel implementation of the k-means algorithm. It is written in C# and uses the Windows Azure environment.

CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.

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.