Search Results for "markov" - Page 4
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Showing 133 open source projects for "markov"
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segment
Solve the Viterbi algorithm in a data stream
It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data. -
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SRM2 Sound Recognizer Mobile 2
A Sound Recognition Framework developed to J2ME plataform
The SRM Framework 2 was developed for the J2ME platform supporting sound recognition dependent and speaker-independent, through the recognition techniques DTW (Dynamic Time Warping) and HMM (Hidden Markov Models), in addition to providing support to the import and export of data any stage of recognition enabling the use of external resources as well as the tool running steps on remote terminals. It has the following characteristics: - DTW - HMM (Discrete Models) - Suports Sound in PCM... -
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The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.
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JaCHMM
Java Conditioned Hidden Markov Model library
The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of applying... -
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XSeq
XSeq, a new peak-calling program used Markov-modulated Poisson process
XSeq, a new peak-calling program used Markov-modulated Poisson processes (MMPP) for analysis ChIP-Seq data of transcription factors (TFs). XSeq applied model-based statistic and a decomposed reads density function to fasten structure information of raw data, and then to infer genomic ChIP-enriched regions. -
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EvoPromoter is a JAVA application that detects promoter regions in aligned nucleotide sequences using phylogenetic hidden markov models.
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
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Trofast Stavekontrol
Trofast is an intelligent spell checker.
Trofast is an intelligent spell checker library based on statistical analysis developed for the Danish language. It makes use of n-grams, hidden Markov models and the Viterbi-algorithm. -
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HMMLab
A Hidden Markov Model editor with support to HTK
HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files. -
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MarkovStoryboard
Senior Project. Create storyboard and show statistics between shots.
This is my senior program. I have designed a 3D camera that can take still images of a scene with a given subject. The camera and objects share a common base structure, RigidBody. The camera includes a projection method so giving the view of the world from the camera. The objects are called Scene Objects and contain, in addition to Rigid Body, a Bounding Box. The Bounding box is a cube surrounding the object giving easy to calculate points for statistics. When a shot is taken the Markov... -
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DETCT
Differential Expression Transcript Counting Technique pipeline
A perl pipeline for identifying differentially expressed genomic regions from transcript counting experiments. The pipeline first uses a Hidden Markov Model (HMM) to identify genomic regions based on the data from the experiment. During the sample counting step the pipeline removes reads which are suspected as being PCR duplicates. The differential expression analysis is currently performed using the DESeq package from Bioconductor. -
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jaf_MT
This implements a phrased-based hidden semi-Markov Model for SMT
This package implements the phrased-based hidden semi-Markov model described: Jesús Andrés-Ferrer, Alfons Juan. A phrase-based hidden semi-Markov approach to machine translation. Procedings of European Association for Machine Translation (EAMT), 2009. pp. 168-175. This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_MT. -
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This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
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Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.
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ESMERALDA is a development environment for statistical recognizers operating on sequential data (speech, handwriting, biological sequences). It supports continuous density Hidden Markov models, Markov chain (N-gramm) models, and Gaussian mixture models.
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This is a markov chains bot for IRC that builds and speaks sentences dynamically from a list of sentences and words it logs from a defined channel. Unlike an infobot, this bot does not use predefined triggers. Everything it says is generated at random.
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T3S Tool
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes. -
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An editor for stochastic Petri-nets which allows creating reachability trees and Markov graphs, simulating and gathering statistics on simulation. Created during "Computer simulation" course at Kiev Polytechnic Institute in 2010. Based on JGraphX.
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Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
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Sasa is a segmentator and symmetry analyser tool, you can segment your pictures and count symmetry with many algorithms, you can use Laws filters, and Markov segmentation with Bayes decision.
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Matlab toolbox for Markov Chain Monte Carlo. Includes interfaces for storing and retrieving trace and run information.
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RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit against the evolutionary group that the HMM models, and it does this using through iterative database searches and incremental subsequent adaptation of the seed set.
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With miao3d you can train a specific Gaussian Markov Random Field (GMRF) that then can be used to estimate a depthmap ("3D"), given an image ("2D"). A GUI allows inspection of the image + depthmap.