Hierarchy For All Packages

Package Hierarchies:

codebook_generation, data_structures, dimensionality_reduction, evaluation, experimental_data_creation, feature_extraction, feature_filtering, product_quantization, utilities, utilities.boofcv_extensions, vector_aggregation

Class Hierarchy

• java.lang.Object
  • weka.clusterers.AbstractClusterer (implements weka.core.CapabilitiesHandler, java.lang.Cloneable, weka.clusterers.Clusterer, weka.core.RevisionHandler, java.io.Serializable)
    • weka.clusterers.RandomizableClusterer (implements weka.core.OptionHandler, weka.core.Randomizable)
      • codebook_generation.SimpleKMeansWithOutput (implements weka.clusterers.NumberOfClustersRequestable, weka.core.TechnicalInformationHandler, weka.core.WeightedInstancesHandler)
  • vector_aggregation.AbstractFeatureAggregator
    • vector_aggregation.BowAggregator
    • vector_aggregation.VladAggregator
    • vector_aggregation.VladAggregatorMean
    • vector_aggregation.VladAggregatorWithFiltering
  • feature_filtering.AbstractFeatureFiltering
    • feature_filtering.EntropyBasedFiltering
    • feature_filtering.RandomFiltering
    • feature_filtering.VarianceBasedFiltering
  • data_structures.AbstractSearchStructure
    • data_structures.ADC
    • data_structures.IVFADC
    • data_structures.VladArray
  • utilities.Answer
  • experimental_data_creation.BestFeatureData
  • experimental_data_creation.BestVocSizeData
  • product_quantization.CoarseQuantizerLearning
  • codebook_generation.CodebookGeneration
  • utilities.boofcv_extensions.DescribePointSiftNormalization
  • utilities.boofcv_extensions.DescribePointSurfNormalization<II>
    • utilities.boofcv_extensions.DescribePointSurfModNormalization<II>
  • feature_extraction.DescriptorExtractor
    • feature_extraction.SIFTExtractor
    • feature_extraction.SURFExtractor
  • utilities.DescriptorsIO
  • utilities.boofcv_extensions.DetectDescribeSiftNormalization
  • feature_filtering.DiscretizationFilterCreation
  • evaluation.EvaluationFromFile
  • utilities.boofcv_extensions.FactoryDescribePointAlgsNormalization
  • utilities.boofcv_extensions.FactoryDetectDescribeNormalization
  • experimental_data_creation.FeatureFilteringIntrinsicData
  • experimental_data_creation.FeatureFilteringVocData
  • utilities.ImageIOGreyScale
  • utilities.ImageIOGreyScale.CacheInfo
  • utilities.ImageIOGreyScale.CanDecodeInputFilter (implements javax.imageio.spi.ServiceRegistry.Filter)
  • utilities.ImageIOGreyScale.CanEncodeImageAndFormatFilter (implements javax.imageio.spi.ServiceRegistry.Filter)
  • utilities.ImageIOGreyScale.ContainsFilter (implements javax.imageio.spi.ServiceRegistry.Filter)
  • utilities.ImageIOGreyScale.ImageReaderIterator (implements java.util.Iterator<E>)
  • utilities.ImageIOGreyScale.ImageTranscoderIterator (implements java.util.Iterator<E>)
  • utilities.ImageIOGreyScale.ImageWriterIterator (implements java.util.Iterator<E>)
  • utilities.ImageIOGreyScale.TranscoderFilter (implements javax.imageio.spi.ServiceRegistry.Filter)
  • feature_extraction.ImageScaling
  • utilities.IndexTransformation
  • experimental_data_creation.MultiVocData
  • utilities.Normalization
  • dimensionality_reduction.PCA
  • dimensionality_reduction.PCALearning
  • dimensionality_reduction.PCAProjection
  • product_quantization.ProductQuantizerLearning
  • utilities.RandomOrthogonalTransformation
  • product_quantization.ResidualVectorComputation
  • utilities.Result (implements java.util.Comparator<T>)
  • codebook_generation.SampleLocalFeatures
  • codebook_generation.SimpleKMeansWithOutput.KMeansClusterTask (implements java.util.concurrent.Callable<V>)
  • codebook_generation.SimpleKMeansWithOutput.KMeansComputeCentroidTask (implements java.util.concurrent.Callable<V>)
  • experimental_data_creation.SumVsMeanAggregationData
  • feature_extraction.SURForSIFTExtractionExample
  • vector_aggregation.VladAggregatorMultipleVocabularies
  • utilities.boofcv_extensions.WrapDetectDescribeSiftNormalization (implements boofcv.abst.feature.detdesc.DetectDescribePoint<T,D>)
  • utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization<T,II> (implements boofcv.abst.feature.detdesc.DetectDescribePoint<T,D>)

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • utilities.ImageIOGreyScale.SpiInfo
    • feature_filtering.DiscretizationFilterCreation.discretizationTypes
    • evaluation.EvaluationFromFile.SearchMethod
    • vector_aggregation.VladAggregatorWithFiltering.FilteringMethod