org.openimaj.experiment.gmm.retrieval

Class GMMFromFeatures

java.lang.Object

org.openimaj.experiment.gmm.retrieval.GMMFromFeatures

All Implemented Interfaces:

Function<LocalFeatureList<? extends LocalFeature<?,? extends FeatureVector>>,MixtureOfGaussians>

public class GMMFromFeatures
extends Object
implements Function<LocalFeatureList<? extends LocalFeature<?,? extends FeatureVector>>,MixtureOfGaussians>

This function turns a list of features to a gaussian mixture model

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
static int	DEFAULT_COMPONENTS default number of guassians to train agains
static GaussianMixtureModelEM.CovarianceType	DEFAULT_COVARIANCE default covariance type

Constructor Summary

Constructors

Constructor and Description
GMMFromFeatures() Defaults to DEFAULT_COMPONENTS and
GMMFromFeatures(GaussianMixtureModelEM.CovarianceType type)
GMMFromFeatures(int nComps)
GMMFromFeatures(int nComps, GaussianMixtureModelEM.CovarianceType type)

Method Summary

Modifier and Type	Method and Description
MixtureOfGaussians	apply(LocalFeatureList<? extends LocalFeature<?,? extends FeatureVector>> features) Apply the function to the input argument and return the result.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_COMPONENTS

public static final int DEFAULT_COMPONENTS

default number of guassians to train agains

See Also:

Constant Field Values

DEFAULT_COVARIANCE

public static final GaussianMixtureModelEM.CovarianceType DEFAULT_COVARIANCE

default covariance type

Constructor Detail

GMMFromFeatures

public GMMFromFeatures()

Defaults to DEFAULT_COMPONENTS and

GMMFromFeatures

public GMMFromFeatures(GaussianMixtureModelEM.CovarianceType type)

Parameters:

type -

GMMFromFeatures

public GMMFromFeatures(int nComps)

Parameters:

nComps -

GMMFromFeatures

public GMMFromFeatures(int nComps,
                       GaussianMixtureModelEM.CovarianceType type)

Parameters:

nComps -

type -

Method Detail

apply

public MixtureOfGaussians apply(LocalFeatureList<? extends LocalFeature<?,? extends FeatureVector>> features)

Description copied from interface: Function

Apply the function to the input argument and return the result.

Specified by:

apply in interface Function<LocalFeatureList<? extends LocalFeature<?,? extends FeatureVector>>,MixtureOfGaussians>

Parameters:

features - the input object

Returns:

the result of the function