Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
Tinghua Wang, Xiaolu Dai, Yuze Liu
Topics & Concepts
Artificial intelligenceAlgorithmic learning theoryMachine learningComputer scienceInstance-based learningUnsupervised learningSemi-supervised learningReproducing kernel Hilbert spaceCluster analysisIndependence (probability theory)Dimensionality reductionInferenceKernel methodTransfer of learningComputational learning theoryMathematicsHilbert spaceSupport vector machineStatisticsMathematical analysisFace and Expression RecognitionNeural Networks and ApplicationsRemote-Sensing Image Classification