Pages that link to "Item:Q5313460"
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The following pages link to Geometric Representation of High Dimension, Low Sample Size Data (Q5313460):
Displaying 39 items.
- Interval estimation in two-group discriminant analysis under heteroscedasticity for large dimension (Q5075486) (← links)
- A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context (Q5077372) (← links)
- On high-dimensional tests for mutual independence based on Pearson’s correlation coefficient (Q5077444) (← links)
- High dimensional asymptotics for the naive Hotelling <i>T</i><sup>2</sup> statistic in pattern recognition (Q5077925) (← links)
- The Dispersion Bias (Q5080131) (← links)
- Robust support vector machine for high-dimensional imbalanced data (Q5082626) (← links)
- Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data (Q5083351) (← links)
- Choosing the optimal hybrid covariance estimators in adaptive elastic net regression models using information complexity (Q5107503) (← links)
- Binary discrimination methods for high-dimensional data with a geometric representation (Q5160208) (← links)
- Asymptotic distribution-free change-point detection based on interpoint distances for high-dimensional data (Q5221303) (← links)
- Some Statistical Problems with High Dimensional Financial data (Q5227362) (← links)
- A simple model‐based approach to variable selection in classification and clustering (Q5256376) (← links)
- Thinking Ultrametrically, Thinking p-Adically (Q5270628) (← links)
- Testing multivariate uniformity: The distance‐to‐boundary method (Q5295961) (← links)
- Local Linear Regression on Manifolds and Its Geometric Interpretation (Q5406369) (← links)
- The high-dimension, low-sample-size geometric representation holds under mild conditions (Q5447664) (← links)
- Circumspheres of sets of <i>n</i> + 1 random points in the <i>d</i>-dimensional Euclidean unit ball (1 ≤ <i>n</i> ≤ <i>d</i>) (Q5738710) (← links)
- Multiple Anchor Point Shrinkage for the Sample Covariance Matrix (Q5868799) (← links)
- Discussion on “Two-Stage Procedures for High-Dimensional Data” by Makoto Aoshima and Kazuyoshi Yata (Q5894438) (← links)
- Graph connection Laplacian methods can be made robust to noise (Q5963525) (← links)
- Statistical Significance for Hierarchical Clustering (Q6079976) (← links)
- Interpoint Distance Classification of High Dimensional Discrete Observations (Q6086612) (← links)
- Polynomial whitening for high-dimensional data (Q6178887) (← links)
- Nonparametric classification of high dimensional observations (Q6201367) (← links)
- Visualization of robust L1PCA (Q6539177) (← links)
- Distance-weighted discrimination of face images for gender classification (Q6540517) (← links)
- On some high-dimensional two-sample tests based on averages of inter-point distances (Q6541459) (← links)
- A review of discriminant analysis in high dimensions (Q6562693) (← links)
- Asymptotic properties of multiclass support vector machine under high dimensional settings (Q6562746) (← links)
- Interpoint distances: applications, properties, and visualization (Q6578176) (← links)
- Statistical inference under the strongly spiked eigenvalue model (Q6601514) (← links)
- Cluster-scaled principal component analysis (Q6602359) (← links)
- Variable selection using \(L_q\) penalties (Q6604398) (← links)
- Distance-weighted discrimination (Q6604446) (← links)
- Learning ordinal data (Q6604471) (← links)
- Some clustering-based change-point detection methods applicable to high dimension, low sample size data (Q6616205) (← links)
- Hotelling \(T^2\) test in high dimensions with application to Wilks outlier method (Q6640130) (← links)
- Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification (Q6643296) (← links)
- Extreme value theory for binary expansion testing (Q6648804) (← links)
