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Found 16 papers, 7 papers with code
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
Even though we test the experiments on the skin tumor dataset, our work could also be extended to other medical image detection problems, such as various tumors' classification and prediction, to help and benefit the clinical evaluation and diagnosis of different tumors.
Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
This paper considers joint analysis of multiple functionally related structures in classification tasks.
Persistent topology of protein space
Protein fold classification is a classic problem in structural biology and bioinformatics.
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations
For measuring the strength of visually-observed subpopulation differences, the Population Difference Criterion is proposed to assess the statistical significance of visually observed subpopulation differences.
diproperm: An R Package for the DiProPerm Test
The direction-projection-permutation (DiProPerm) test was developed for testing the difference of two high-dimensional distributions induced by a binary linear classifier.
Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use of class labels.
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
We propose a new method for aggregating predictions from smaller regions of the image into an image-level classification by using the quantile function.
Distance weighted discrimination of face images for gender classification
We illustrate the advantages of distance weighted discrimination for classification and feature extraction in a High Dimension Low Sample Size (HDLSS) situation.
Angle-Based Joint and Individual Variation Explained
Integrative analysis of disparate data blocks measured on a common set of experimental subjects is a major challenge in modern data analysis.
Geometric Insights into Support Vector Machine Behavior using the KKT Conditions
The support vector machine (SVM) is a powerful and widely used classification algorithm.
Large-Margin Classification with Multiple Decision Rules
Binary classification is a common statistical learning problem in which a model is estimated on a set of covariates for some outcome indicating the membership of one of two classes.
Relative Optimality Conditions and Algorithms for Treespace Fréchet Means
Recent interest in treespaces as well-founded mathematical domains for phylogenetic inference and statistical analysis for populations of anatomical trees has motivated research into efficient and rigorous methods for optimization problems on treespaces.
Optimization and Control 90C48, 90C90
Nested Nonnegative Cone Analysis
The application of traditional PCA/SVD method to nonnegative data often cause the approximation matrix leave the nonnegative cone, which leads to non-interpretable and sometimes nonsensical results.
Direction-Projection-Permutation for High Dimensional Hypothesis Tests
Motivated by the prevalence of high dimensional low sample size datasets in modern statistical applications, we propose a general nonparametric framework, Direction-Projection-Permutation (DiProPerm), for testing high dimensional hypotheses.
Methodology
Registration of Functional Data Using Fisher-Rao Metric
We introduce a novel geometric framework for separating the phase and the amplitude variability in functional data of the type frequently studied in growth curve analysis.
Statistics Theory Applications Methodology Statistics Theory
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
In this paper we introduce Joint and Individual Variation Explained (JIVE), a general decomposition of variation for the integrated analysis of such data sets.
