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High Level Image Analysis on Manifolds via Projective Shapes and 3D Reflection Shapes
Modeling Multivariate Data with Parameter-Based Subspaces
One-and Two-Sample Problem for Data on Hilbert Manifolds with Applications to Shape Analysis
Parameter Sensitive Feature Selection for Learning on Large Datasets
Statistical Methods for Big Data and Their Applications in Biomedical Research
Studies of Joint Structure Sparsity Pursuit in the Applications of Hierarchical Variable Selection and Fused Lasso
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters