| Modifier and Type | Interface and Description |
|---|---|
interface |
FeatureVector
Interface for objects that represent feature vectors.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ArrayFeatureVector<ARRAYTYPE>
Abstract base class for all types of
FeatureVector that are backed by
a native array. |
class |
ByteFV
Basic byte single-dimensional feature vector implementation
|
class |
DoubleFV
Basic double single-dimensional feature vector implementation
|
class |
EnumFV<T extends Enum<T>>
A feature-vector representation of an enumeration
|
class |
FloatFV
Basic float single-dimensional feature vector implementation
|
class |
IntFV
Basic int single-dimensional feature vector implementation
|
class |
LongFV
Basic long single-dimensional feature vector implementation
|
class |
MultidimensionalByteFV
Basic byte multidimensional feature vector implementation
|
class |
MultidimensionalDoubleFV
Basic double multidimensional feature vector implementation
|
class |
MultidimensionalFloatFV
Basic float multidimensional feature vector implementation
|
class |
MultidimensionalIntFV
Basic int multidimensional feature vector implementation
|
class |
MultidimensionalLongFV
Basic long multidimensional feature vector implementation
|
class |
MultidimensionalShortFV
Basic short multidimensional feature vector implementation
|
class |
OrientedFeatureVector
Byte featurevector with an associated orientation
|
class |
ShortFV
Basic short single-dimensional feature vector implementation
|
class |
SparseByteFV
A sparse one-dimensional feature vector of byte-valued elements.
|
class |
SparseDoubleFV
A sparse one-dimensional feature vector of double-valued elements.
|
class |
SparseFloatFV
A sparse one-dimensional feature vector of float-valued elements.
|
class |
SparseIntFV
A sparse one-dimensional feature vector of int-valued elements.
|
class |
SparseLongFV
A sparse one-dimensional feature vector of long-valued elements.
|
class |
SparseShortFV
A sparse one-dimensional feature vector of short-valued elements.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
LocalFeature<L extends Location,T extends FeatureVector>
A
LocalFeature models a feature that has a Location
associated with it. |
interface |
Location
The Location interface models an object that has
a spatial position in some sense.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FloatLocalFeatureAdaptor<L extends Location>
|
class |
LocalFeatureImpl<L extends Location,F extends FeatureVector>
A basic implementation of a
LocalFeature that internally holds
references to a FeatureVector and Location. |
class |
ScaleSpaceLocation
ScaleSpaceLocation represents a
Location in scale-space. |
class |
SpatialLocation
SpatialLocation represents a
Location in 2d-space. |
| Modifier and Type | Class and Description |
|---|---|
class |
LocalFeatureListIndex<K extends ReadWriteable,V extends LocalFeature<?,?>>
LocalFeatureListIndex is a @{link ReadWriteable} map of keys to local feature
lists.
|
| Modifier and Type | Class and Description |
|---|---|
class |
QuantisedLocalFeature<L extends Location>
A QuantisedLocalFeature is a local feature with a single integer
feature-vector.
|
| Modifier and Type | Class and Description |
|---|---|
class |
TimeFrequencyHolder
A
ReadWriteableBinary TLongObjectHashMap |
static class |
TimeFrequencyHolder.TimeFrequency
Holds the number of a thing at a moment in time and the total number of
that thing seen across all time
|
| Modifier and Type | Class and Description |
|---|---|
class |
TokenPairCount
A pair of strings with 2 distinct counts:
number of times the pair appears together in a document
|
class |
TokenPairUnaryCount
A Pair count with a unary count for each item of the pair.
|
| Modifier and Type | Class and Description |
|---|---|
class |
WordDFIDFValue |
| Modifier and Type | Class and Description |
|---|---|
class |
TimeperiodTweetCountWordCount
Class encapsulating a number of tweets across which certain words were seen
|
class |
TweetCountWordMap
Class encapsulating a number of tweets across which certain words were seen
|
class |
WordDFIDF
Convenience class which holds all the components required to calculate DF-IDF
|
| Modifier and Type | Class and Description |
|---|---|
class |
PixelsFeature
PixelsFeature is used to dynamically create the ConnectedComponents
corresponding to MSERs.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ByteDSIFTKeypoint
Dense SIFT keypoint with a location and byte feature vector.
|
class |
FloatDSIFTKeypoint
Dense SIFT keypoint with a location and float feature vector.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AffineSimulationKeypoint
An extension of a
Keypoint that holds the AffineParams and
simulation index of the affine simulation from which it was detected. |
static class |
AffineSimulationKeypoint.AffineSimulationKeypointLocation
A
KeypointLocation extended to hold a rotation, tilt and index
corresponding to an affine simulation. |
| Modifier and Type | Class and Description |
|---|---|
class |
AffineInterestPointKeypoint
A keypoint with an elliptical shape from an affine transform.
|
class |
CircularInterestPointKeypoint
A keypoint with circular support
|
| Modifier and Type | Class and Description |
|---|---|
class |
EllipticInterestPointData |
class |
InterestPointData |
| Modifier and Type | Class and Description |
|---|---|
class |
FloatKeypoint
A local interest point with a location, scale, orientation and associated
feature.
|
class |
InterestPointKeypoint<T extends InterestPointData>
An oriented feature with at a location defined by an
InterestPointData. |
class |
Keypoint
A local interest point with a location, scale, orientation and associated
feature.
|
class |
KeypointLocation
The location of a
Keypoint. |
class |
MinMaxKeypoint
A
Keypoint extended to hold information on whether was detected at a
maxima or minima. |
static class |
MinMaxKeypoint.MinMaxKeypointLocation
The location of a
MinMaxKeypoint. |
class |
SIFTGeoKeypoint
Implementation of a
LocalFeature based on the .siftgeo format
developed by Krystian Mikolajczyk for his tools. |
class |
SIFTGeoKeypoint.SIFTGeoLocation
The location of a
SIFTGeoKeypoint. |
| Modifier and Type | Class and Description |
|---|---|
class |
QuantisedAffineSimulationKeypoint
A
QuantisedLocalFeature with a location described by an
AffineSimulationKeypoint.AffineSimulationKeypointLocation. |
class |
QuantisedKeypoint
|
| Modifier and Type | Class and Description |
|---|---|
class |
EigenImages
Implementation of EigenImages.
|
class |
FisherImages
Implementation of Fisher Images (aka "FisherFaces").
|
| Modifier and Type | Class and Description |
|---|---|
class |
ConnectedComponent
This class represents a connected region within an image and provides methods
for accessing and manipulating that region.
|
class |
FValuePixel
Represents a pixel location.
|
class |
GenericValuePixel<T>
Represents a pixel location.
|
class |
IntValuePixel
Represents a pixel location.
|
class |
Pixel
Represents a pixel within an image, storing its coordinates.
|
class |
PixelSet
A set of (not-necessarily connected) pixels within an image.
|
class |
ValuePixel<T>
An abstract class for objects that represent a pixel and its value.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
FaceAligner<T extends DetectedFace>
A FaceAligner produces aligned face patches (i.e.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AffineAligner
The
AffineAligner attempts to find an affine transform that will warp
the face to the canonical frame by aligning facial keypoints. |
class |
CLMAligner
An aligner that warps a
CLMDetectedFace to the neutral pose
(reference shape) of the CLMFaceDetector.Configuration. |
class |
IdentityAligner<T extends DetectedFace>
A FaceAligner that does nothing, and just passes on the patch from the
DetectedFace.
|
class |
MeshWarpAligner
A MeshWarpAligner aligns facial images using a piecewise mesh warping such
that all detected facial keypoints are moved to their canonical coordinates.
|
class |
RotateScaleAligner
Attempt to align a face by rotating and scaling it.
|
class |
ScalingAligner<T extends DetectedFace>
A FaceAligner that just scales the face patch held with the
DetectedFace to a predefined size. |
| Modifier and Type | Interface and Description |
|---|---|
interface |
FaceDetector<T extends DetectedFace,I extends Image<?,I>>
Interfaces for classes that are capable of detecting faces.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CCDetectedFace
A
DetectedFace that is represented/detected by a
ConnectedComponent. |
class |
CLMDetectedFace
A constrained local model detected face.
|
class |
CLMFaceDetector
Face detector based on a constrained local model.
|
class |
DetectedFace
A DetectedFace models a face detected by a face detector, together with the
locations of certain facial features localised on the face.
|
class |
EllipticalDetectedFace
An extension of a
DetectedFace that represents the detection by an
ellipse. |
class |
HaarCascadeDetector
A face detector based on a Haar cascade.
|
class |
IdentityFaceDetector<IMAGE extends Image<?,IMAGE>>
A face detector that does nothing other than wrap the input image in a single
DetectedFace object. |
class |
SandeepFaceDetector
Implementation of a face detector along the lines of "Human Face Detection in
Cluttered Color Images Using Skin Color and Edge Information" K.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FacialKeypoint
A
FacialKeypoint represents a keypoint on a face. |
class |
FKEFaceDetector
F(rontal)K(eypoint)E(nriched)FaceDetector uses an underlying face detector to
detect frontal faces in an image, and then looks for facial keypoints within
the detections.
|
class |
KEDetectedFace
A K(eypoint)E(nriched)DetectedFace models a face detected by a face detector,
together with the locations of certain facial features localised on the face.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
FacialFeature
A FacialFeature is a feature describing a face that has
been detected.
|
interface |
FacialFeatureExtractor<T extends FacialFeature,Q extends DetectedFace>
Interface for factory objects capable of extracting a
FacialFeature
from a DetectedFace. |
| Modifier and Type | Class and Description |
|---|---|
class |
CLMPoseFeature
A feature-vector that describes the pose of a face in 3D space in terms of
its pitch, yaw and roll.
|
static class |
CLMPoseFeature.Extractor
A
FacialFeatureExtractor for providing CLMPoseFeatures. |
class |
CLMPoseShapeFeature
A feature-vector that describes the pose and shape of a face.
|
static class |
CLMPoseShapeFeature.Extractor
A
FacialFeatureExtractor for providing
CLMPoseShapeFeatures. |
class |
CLMShapeFeature
A feature-vector that describes the shape of a face through a list of
eigen-weights on a point distribution model.
|
static class |
CLMShapeFeature.Extractor
A
FacialFeatureExtractor for providing CLMShapeFeatures. |
class |
DoGSIFTFeature
A
FacialFeature that uses DoG-SIFT features to
describe a face. |
static class |
DoGSIFTFeature.Extractor
A
FacialFeatureExtractor for producing DoGSIFTFeatures |
class |
EigenFaceFeature
A
FacialFeature for EigenFaces. |
static class |
EigenFaceFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing EigenFaces. |
class |
FaceImageFeature
A
FacialFeature that is just the pixel values
of a (possibly aligned) face detection. |
static class |
FaceImageFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing FaceImageFeatures. |
class |
FacePatchFeature
A
FacialFeature that is built by concatenating each of the normalised
facial part patches from a detected face. |
static class |
FacePatchFeature.DetectedFacePart
A
FacialKeypoint with an associated feature |
static class |
FacePatchFeature.Extractor
A
FacialFeatureExtractor for producing FacialFeatures |
class |
FisherFaceFeature
A
FacialFeature for FisherFaces. |
static class |
FisherFaceFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing FisherFaces. |
class |
LocalLBPHistogram
A
FacialFeature built from decomposing the face image into
(non-overlapping) blocks and building histograms of the
ExtendedLocalBinaryPatterns for each block and then concatenating to
form the final feature. |
static class |
LocalLBPHistogram.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for building LocalLBPHistograms. |
| Modifier and Type | Interface and Description |
|---|---|
interface |
FacialFeatureComparator<T extends FacialFeature>
Interface for classes capable of comparing two
FacialFeatures
and producing a score. |
| Modifier and Type | Class and Description |
|---|---|
class |
DoGSIFTFeatureComparator
A
FacialFeatureComparator for comparing DoGSIFTFeatures. |
class |
FaceFVComparator<T extends FacialFeature & FeatureVectorProvider<Q>,Q extends FeatureVector>
A generic
FacialFeatureComparator for FacialFeatures that can
provide FeatureVectors through the FeatureVectorProvider
interface. |
class |
LtpDtFeatureComparator
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
|
class |
ReversedLtpDtFeatureComparator
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
LTPWeighting |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractLtpDtFeature
Base class for LTP based features using a
truncated Euclidean distance transform
to estimate the distances within each slice.
|
class |
GaussianWeighting
A Gaussian
LTPWeighting function. |
class |
LtpDtFeature
The LTP based feature using a truncated Euclidean distance transform
to estimate the distances within each slice.
|
static class |
LtpDtFeature.Extractor<Q extends DetectedFace>
A
FacialFeatureExtractor for extracting LtpDtFeatures. |
class |
TruncatedWeighting
A truncated weighting scheme which cuts-off distances
beyond a threshold.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AnnotatorFaceRecogniser<FACE extends DetectedFace,PERSON>
A
FaceRecogniser built on top of an IncrementalAnnotator. |
class |
EigenFaceRecogniser<FACE extends DetectedFace,PERSON>
Implementation of a
FaceRecogniser based on Eigenfaces. |
class |
FaceRecogniser<FACE extends DetectedFace,PERSON>
Base class for all Face Recognisers.
|
class |
FaceRecognitionEngine<FACE extends DetectedFace,PERSON>
The
FaceRecognitionEngine ties together the implementations of a
FaceDetector and FaceRecogniser, and provides a single
convenience API with which to interact with a face recognition system. |
class |
FisherFaceRecogniser<FACE extends DetectedFace,PERSON>
Implementation of a
FaceRecogniser based on Fisherfaces. |
| Modifier and Type | Class and Description |
|---|---|
static class |
MultiTracker.TrackedFace
Encapsulates the variables for a single tracked face.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AffineParams
Parameters defining an affine simulation, in terms of a tilt and rotation.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
CachableBinary
A
Cachable that is capable of being read/written as Binary. |
interface |
Readable
Interface for objects capable of deserialising themselves from ascii
and/or binary formats.
|
interface |
ReadWriteable
Interface for objects capable of serialising and deserialising
themselves to and from ascii and/or binary formats.
|
interface |
ReadWriteableBinary
Interface for objects capable of serialising and deserialising
themselves to and from binary format.
|
| Modifier and Type | Method and Description |
|---|---|
static <T extends ReadableBinary> |
IOUtils.deserialize(byte[] source,
Class<T> clazz)
Convenience function for deserializing an object from a byte array.
|
static <T extends ReadableBinary> |
IOUtils.deserialize(byte[] source,
long skip,
Class<T> clazz)
Convenience function for deserializing an object from a byte array.
|
static <T extends ReadableBinary> |
IOUtils.isBinary(BufferedInputStream bis,
T obj)
Extracts the binary header from object and calls the byte[] version
|
| Modifier and Type | Class and Description |
|---|---|
class |
Readable2DArrayBinary
A wrapper for 2D Array that is readable.
|
class |
ReadableArrayBinary<V>
A wrapper for
List that is readable. |
class |
ReadableListBinary<V>
A wrapper for
List that is readable. |
class |
ReadableMapBinary<K,V>
A wrapper for
Map that is readable. |
class |
ReadWritableIndependentPair<A,B>
Base class for writing any independent pair.
|
class |
ReadWriteableByte
A wrapper around byte that can be read and written.
|
class |
ReadWriteableDouble
A wrapper around double that can be read and written.
|
class |
ReadWriteableFloat
A wrapper around float that can be read and written.
|
class |
ReadWriteableInt
A wrapper around int that can be read and written.
|
class |
ReadWriteableListBinary<V>
|
class |
ReadWriteableLong
A wrapper around long that can be read and written.
|
class |
ReadWriteableShort
A wrapper around short that can be read and written.
|
class |
ReadWriteableString
A wrapper around a String that can be read and written.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IncrementalByteADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalDoubleADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalFloatADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalIntADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalLongADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalShortADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
Coordinate
Generic interface to get the distance along a dimension of an object
representing a point in an n-dimensional space
|
interface |
Point2d
Interface representing a point in 2d space with x and y coordinates.
|
interface |
Point3d
Interface representing a point in 3d space with x and y coordinates
|
interface |
ScaleSpacePoint
ScaleSpacePoint represents a
Point2d in scale-space. |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractPoint2d
Abstract base for
Point2d implementations that retains the underlying
precision. |
class |
DoublePoint2dImpl
Double-precision 2d point
|
class |
PayloadCoordinate<T extends Coordinate,O>
A concrete implementation of a
Coordinate that has an associated
payload. |
class |
Point2dImpl
Simple concrete implementation of a two dimensional point.
|
class |
Point3dImpl
Simple concrete implementation of a three dimensional point.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Rectangle
A rectangle shape oriented to the axes.
|
class |
Rectangle3D
A rectangle in 3D space.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ReadWriteableMatrix
A wrapper around a JAMA Matrix that is read-writeable by
OpenIMAJ IOUtils.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SimilarityMatrix
A similarity matrix is a square matrix with an associated index.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Histogram
Simple Histogram based on a DoubleFV.
|
class |
MultidimensionalHistogram
Simple Histogram based on a MultidimensionalDoubleFV.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
Clusters
Interface to represent the result of a clustering operation
|
interface |
SpatialClusters<DATATYPE>
Interface to describe objects that are the result of the clustering performed
by a
SpatialClusterer. |
| Modifier and Type | Class and Description |
|---|---|
class |
ByteCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
class |
DoubleCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
class |
FeatureVectorCentroidsResult<T extends FeatureVector>
The result of a
SpatialClusterer that just produces a flat set of
centroids in the form of FeatureVectors. |
class |
FloatCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
class |
IndexClusters
Class to describe objects that are the result of the clustering where the
training data is implicitly clustered
|
class |
IntCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
class |
LongCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
class |
ShortCentroidsResult
The result of a
SpatialClusterer that just produces a flat set of centroids. |
| Modifier and Type | Class and Description |
|---|---|
class |
DBSCANClusters |
class |
DoubleDBSCANClusters
DBSCANClusters which also holds the original data |
| Modifier and Type | Class and Description |
|---|---|
class |
KDTreeClusters |
| Modifier and Type | Class and Description |
|---|---|
static class |
ByteKMeans.Result
Result object for ByteKMeans, extending ByteCentroidsResult and ByteNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
static class |
DoubleKMeans.Result
Result object for DoubleKMeans, extending DoubleCentroidsResult and DoubleNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
static class |
FeatureVectorKMeans.Result<T extends FeatureVector>
Result object for FeatureVectorKMeans, extending
FeatureVectorCentroidsResult and ObjectNearestNeighboursProvider, as well
as giving access to state information from the operation of the K-Means
algorithm (i.e.
|
static class |
FloatKMeans.Result
Result object for FloatKMeans, extending FloatCentroidsResult and FloatNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
class |
HierarchicalByteKMeansResult
The result of a
HierarchicalByteKMeans clustering operation. |
class |
HierarchicalDoubleKMeansResult
The result of a
HierarchicalDoubleKMeans clustering operation. |
class |
HierarchicalFloatKMeansResult
The result of a
HierarchicalFloatKMeans clustering operation. |
class |
HierarchicalIntKMeansResult
The result of a
HierarchicalIntKMeans clustering operation. |
class |
HierarchicalLongKMeansResult
The result of a
HierarchicalLongKMeans clustering operation. |
class |
HierarchicalShortKMeansResult
The result of a
HierarchicalShortKMeans clustering operation. |
static class |
IntKMeans.Result
Result object for IntKMeans, extending IntCentroidsResult and IntNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
static class |
LongKMeans.Result
Result object for LongKMeans, extending LongCentroidsResult and LongNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
static class |
ShortKMeans.Result
Result object for ShortKMeans, extending ShortCentroidsResult and ShortNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
|
class |
SphericalKMeansResult
The result of a
SpatialClusterer that just produces a flat set of
centroids. |
| Modifier and Type | Class and Description |
|---|---|
class |
ClusterLimitedIntRAC
Similar to
IntRAC but explicitly specify the limit the number of
clusters. |
class |
IntRAC
An implementation of the RAC algorithm proposed by Ramanan and Niranjan.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IntRandomForest
An implementation of the RandomForest clustering algorithm proposed by Jurie et al.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SpectralIndexedClusters
IndexClusters which also hold the eigenvector/value pairs which created them |
| Modifier and Type | Class and Description |
|---|---|
class |
BilinearSparseFISTALearner |
class |
BilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
class |
BilinearUnmixedSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal parameter
adjustment (for regularised parameters).
|
| Modifier and Type | Class and Description |
|---|---|
class |
MatlibBilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
| Modifier and Type | Class and Description |
|---|---|
class |
Document
A document is a bag of words
|
| Modifier and Type | Class and Description |
|---|---|
class |
StatusConsumption
Statistics about status consumption
|
| Modifier and Type | Class and Description |
|---|---|
class |
WriteableFailedURL
Can serialise itself as bytes or a json string
|
class |
WriteableImageOutput
Can serialise itself as bytes or a json string
|
| Modifier and Type | Class and Description |
|---|---|
class |
LanguageModel
The data used by
LanguageDetector |
| Modifier and Type | Class and Description |
|---|---|
class |
SampleBatch
A batch of samples
|
| Modifier and Type | Class and Description |
|---|---|
class |
GeneralJSON
This interface should be implemented by classes that will define a new json
input format for the USMFStatus object.
|
class |
GeneralJSONRDF
Holds an internal Jena Graph of the USMF status.
|
class |
GeneralJSONTwitter
GeneralJSONTwitter extends GeneralJSON to provide an object that GSon can
fill from a twitter json string.
|
class |
GeneralJSONTwitterRawText
GeneralJSONTwitterRawText extends GeneralJSONTwitter to provide an object that can
read raw strings. |
class |
USMFStatus
A USMFstatus.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
StreamJSONStatusList.ReadableWritableJSON
a readable json hashmap
|
| Modifier and Type | Class and Description |
|---|---|
class |
TrueLanguageTwitterStatus
A twitter status with a true language as ascribed by some users
|
| Modifier and Type | Class and Description |
|---|---|
class |
SparseBinSearchByteArray
A Sparse array of byte values implemented using a pair of
sorted parallel arrays.
|
class |
SparseBinSearchDoubleArray
A Sparse array of double values implemented using a pair of
sorted parallel arrays.
|
class |
SparseBinSearchFloatArray
A Sparse array of float values implemented using a pair of
sorted parallel arrays.
|
class |
SparseBinSearchIntArray
A Sparse array of int values implemented using a pair of
sorted parallel arrays.
|
class |
SparseBinSearchLongArray
A Sparse array of long values implemented using a pair of
sorted parallel arrays.
|
class |
SparseBinSearchShortArray
A Sparse array of short values implemented using a pair of
sorted parallel arrays.
|
class |
SparseByteArray
A sparse array of byte values.
|
class |
SparseDoubleArray
A sparse array of double values.
|
class |
SparseFloatArray
A sparse array of float values.
|
class |
SparseHashedByteArray
A
SparseByteArray implementation based on a
TIntByteHashMap. |
class |
SparseHashedDoubleArray
A
SparseDoubleArray implementation based on a
TIntDoubleHashMap. |
class |
SparseHashedFloatArray
A
SparseFloatArray implementation based on a
TIntFloatHashMap. |
class |
SparseHashedIntArray
A
SparseIntArray implementation based on a
TIntIntHashMap. |
class |
SparseHashedLongArray
A
SparseLongArray implementation based on a
TIntLongHashMap. |
class |
SparseHashedShortArray
A
SparseShortArray implementation based on a
TIntShortHashMap. |
class |
SparseIntArray
A sparse array of int values.
|
class |
SparseLongArray
A sparse array of long values.
|
class |
SparseShortArray
A sparse array of short values.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Feature
A tracked feature
|
| Modifier and Type | Class and Description |
|---|---|
static class |
TernaryPlot.TernaryData
Holds an a value for the 3 ternary dimensions and a value
|