Uses of Interface
marf.FeatureExtraction.IFeatureExtraction

Packages that use IFeatureExtraction

marf
marf.Classification
marf.Classification.Distance
marf.Classification.Markov
marf.Classification.NeuralNetwork
marf.Classification.RandomClassification
marf.Classification.Similarity
marf.Classification.Stochastic
marf.FeatureExtraction
marf.FeatureExtraction.Cepstral
marf.FeatureExtraction.F0
marf.FeatureExtraction.FFT
marf.FeatureExtraction.LPC
marf.FeatureExtraction.MinMaxAmplitudes
marf.FeatureExtraction.RandomFeatureExtraction
marf.FeatureExtraction.RawFeatureExtraction
marf.FeatureExtraction.Segmentation

Uses of IFeatureExtraction in marf

Methods in marf that return IFeatureExtraction

static IFeatureExtraction

MARF.getFeatureExtraction() Retrieves current FeatureExtraction reference.

Uses of IFeatureExtraction in marf.Classification

Fields in marf.Classification declared as IFeatureExtraction

protected IFeatureExtraction

Classification.oFeatureExtraction Reference to the enclosed FeatureExtraction object.

Methods in marf.Classification that return IFeatureExtraction

IFeatureExtraction	Classification.getFeatureExtraction() Retrieves the features source.
IFeatureExtraction	IClassification.getFeatureExtraction() Retrieves the features source.

Methods in marf.Classification with parameters of type IFeatureExtraction

static IClassification	ClassificationFactory.create(java.lang.Integer poClassificationMethod, IFeatureExtraction poFeatureExtraction) Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
static IClassification	ClassificationFactory.create(int piClassificationMethod, IFeatureExtraction poFeatureExtraction) Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
void	Classification.setFeatureExtraction(IFeatureExtraction poFeatureExtraction) Allows setting the features source.
void	IClassification.setFeatureExtraction(IFeatureExtraction poFeatureExtraction) Allows setting the features source.

Constructors in marf.Classification with parameters of type IFeatureExtraction

Classification(IFeatureExtraction poFeatureExtraction)
Generic Classification Constructor.

Uses of IFeatureExtraction in marf.Classification.Distance

Constructors in marf.Classification.Distance with parameters of type IFeatureExtraction

ChebyshevDistance(IFeatureExtraction poFeatureExtraction)
ChebyshevDistance Constructor.

DiffDistance(IFeatureExtraction poFeatureExtraction)
DiffDistance Constructor.

Distance(IFeatureExtraction poFeatureExtraction)
Distance Constructor.

EuclideanDistance(IFeatureExtraction poFeatureExtraction)
EuclideanDistance Constructor.

HammingDistance(IFeatureExtraction poFeatureExtraction)
Hamming Distance Constructor.

MahalanobisDistance(IFeatureExtraction poFeatureExtraction)
MahalanobisDistance Constructor.

MinkowskiDistance(IFeatureExtraction poFeatureExtraction)
MinkowskiDistance Constructor.

Uses of IFeatureExtraction in marf.Classification.Markov

Constructors in marf.Classification.Markov with parameters of type IFeatureExtraction

Markov(IFeatureExtraction poFeatureExtraction)
Markov Constructor.

Uses of IFeatureExtraction in marf.Classification.NeuralNetwork

Constructors in marf.Classification.NeuralNetwork with parameters of type IFeatureExtraction

NeuralNetwork(IFeatureExtraction poFeatureExtraction)
NeuralNetwork Constructor.

Uses of IFeatureExtraction in marf.Classification.RandomClassification

Constructors in marf.Classification.RandomClassification with parameters of type IFeatureExtraction

RandomClassification(IFeatureExtraction poFeatureExtraction)
RandomClassification Constructor.

Uses of IFeatureExtraction in marf.Classification.Similarity

Constructors in marf.Classification.Similarity with parameters of type IFeatureExtraction

CosineSimilarityMeasure(IFeatureExtraction poFeatureExtraction)
Distance Constructor.

Uses of IFeatureExtraction in marf.Classification.Stochastic

Constructors in marf.Classification.Stochastic with parameters of type IFeatureExtraction

MaxProbabilityClassifier(IFeatureExtraction poFeatureExtraction)
Implements Classification API.

Stochastic(IFeatureExtraction poFeatureExtraction)
Stochastic Constructor.

ZipfLaw(IFeatureExtraction poFeatureExtraction)
Classification API.

Uses of IFeatureExtraction in marf.FeatureExtraction

Classes in marf.FeatureExtraction that implement IFeatureExtraction

class	FeatureExtraction Generic Feature Extraction Module.
class	FeatureExtractionAggregator This class by itself does not do any feature extraction, but instead allows concatenation of the results of several actual feature extractors to be combined in a single result.

Fields in marf.FeatureExtraction declared as IFeatureExtraction

protected IFeatureExtraction

FeatureExtractionAggregator.FeatureExtractionThread.oFeatureExtraction A reference to the feature extraction module.

Methods in marf.FeatureExtraction that return IFeatureExtraction

static IFeatureExtraction	FeatureExtractionFactory.create(java.lang.Integer poFeatureExtractionMethod, IPreprocessing poPreprocessing) Instantiates a FeatureExtraction module indicated by the first parameter with the 2nd parameter as an argument.
static IFeatureExtraction	FeatureExtractionFactory.create(int piFeatureExtractionMethod, IPreprocessing poPreprocessing) Instantiates a FeatureExtraction module indicated by the first parameter with the 2nd parameter as an argument.
IFeatureExtraction	FeatureExtractionAggregator.FeatureExtractionThread.getFeatureExtraction() Allows obtaining the reference to the contained feature extraction module.

Constructors in marf.FeatureExtraction with parameters of type IFeatureExtraction

FeatureExtractionAggregator.FeatureExtractionThread(IFeatureExtraction poFeatureExtraction, ExpandedThreadGroup poGroup)
Constructs a feature extraction thread with a given module.

FeatureExtractionAggregator.FeatureExtractionThread(IFeatureExtraction poFeatureExtraction, ExpandedThreadGroup poGroup, double[] padSampleData)
Constructs a feature extraction thread with a given module and sample data from external source.

Uses of IFeatureExtraction in marf.FeatureExtraction.Cepstral

Classes in marf.FeatureExtraction.Cepstral that implement IFeatureExtraction

class

Cepstral Cepstral Analysis.

Uses of IFeatureExtraction in marf.FeatureExtraction.F0

Classes in marf.FeatureExtraction.F0 that implement IFeatureExtraction

class

F0 Class F0 - the Fundamental Frequency Extraction.

Uses of IFeatureExtraction in marf.FeatureExtraction.FFT

Classes in marf.FeatureExtraction.FFT that implement IFeatureExtraction

class

FFT Class FFT implements Fast Fourier Transform.

Uses of IFeatureExtraction in marf.FeatureExtraction.LPC

Classes in marf.FeatureExtraction.LPC that implement IFeatureExtraction

class

LPC Class LPC implements Linear Predictive Coding.

Uses of IFeatureExtraction in marf.FeatureExtraction.MinMaxAmplitudes

Classes in marf.FeatureExtraction.MinMaxAmplitudes that implement IFeatureExtraction

class

MinMaxAmplitudes Min/Max Amplitudes.

Uses of IFeatureExtraction in marf.FeatureExtraction.RandomFeatureExtraction

Classes in marf.FeatureExtraction.RandomFeatureExtraction that implement IFeatureExtraction

class

RandomFeatureExtraction Implementation of random feature extraction for testing as a baseline.

Uses of IFeatureExtraction in marf.FeatureExtraction.RawFeatureExtraction

Classes in marf.FeatureExtraction.RawFeatureExtraction that implement IFeatureExtraction

class

RawFeatureExtraction For a some applications it is desired to pass-through the preprocessed sample data "as-is", or with little massaging; this module does that.

Uses of IFeatureExtraction in marf.FeatureExtraction.Segmentation

Classes in marf.FeatureExtraction.Segmentation that implement IFeatureExtraction

class

Segmentation Class Segmentation.