56 citations · 90 across the 11 of their papers we have counts for
11 papers
A scalable version of MADD for big-data classification
Annesha Ghosh, Adrija Saha, Soham Sarkar
Distance-based classifiers are very popular, and the Euclidean distance is one of the most commonly used metrics in distance-based classifiers. However, classifiers based on the Eu…
Classification Using Global and Local Mahalanobis Distances
Annesha Ghosh, Anil K. Ghosh, Rita SahaRay +1
We propose a novel semiparametric classifier based on Mahalanobis distances of an observation from the competing classes. Our tool is a generalized additive model with the logistic…
Nearest Neighbor Classification based on Imbalanced Data: A Statistical Approach
Anvit Garg, Anil K. Ghosh, Soham Sarkar
When the competing classes in a classification problem are not of comparable size, many popular classifiers exhibit a bias towards larger classes, and the nearest neighbor classifi…
On Exact Feature Screening in Ultrahigh-dimensional Binary Classification
Sarbojit Roy, Soham Sarkar, Subhajit Dutta +1
We propose a new model-free feature screening method based on energy distances for ultrahigh-dimensional binary classification problems. With a high probability, the proposed metho…
CovNet: Covariance Networks for Functional Data on Multidimensional Domains
Soham Sarkar, Victor M. Panaretos
Covariance estimation is ubiquitous in functional data analysis. Yet, the case of functional observations over multidimensional domains introduces computational and statistical cha…
Separable Expansions for Covariance Estimation
Tomas Masak, Soham Sarkar, Victor M. Panaretos
The non-parametric estimation of covariance lies at the heart of functional data analysis, whether for curve or surface-valued data. The case of a two-dimensional domain poses both…
On a Generalization of the Average Distance Classifier
Sarbojit Roy, Soham Sarkar, Subhajit Dutta
In high dimension, low sample size (HDLSS)settings, the simple average distance classifier based on the Euclidean distance performs poorly if differences between the locations get…
Choline chloride as a nano-crowder protects HP-36 from urea-induced denaturation: Insights from Solvent Dynamics and Protein-Solvent interaction
Atanu Maity, Soham Sarkar, Ligesh Theeyancheri +1
Urea at sufficiently high concentration unfolds the secondary structure of proteins leading to denaturation. In contrast, Choline Chloride (ChCl) and urea, in 1:2 molar ratio form…
On Generalizations of Some Distance Based Classifiers for HDLSS Data
Sarbojit Roy, Soham Sarkar, Subhajit Dutta +1
In high dimension, low sample size (HDLSS) settings, classifiers based on Euclidean distances like the nearest neighbor classifier and the average distance classifier perform quite…
On high-dimensional modifications of some graph-based two-sample tests
Soham Sarkar, Rahul Biswas, Anil K. Ghosh
Testing for the equality of two high-dimensional distributions is a challenging problem, and this becomes even more challenging when the sample size is small. Over the last few dec…
On perfect clustering of high dimension, low sample size data
Soham Sarkar, Anil K. Ghosh
Popular clustering algorithms based on usual distance functions (e.g., Euclidean distance) often suffer in high dimension, low sample size (HDLSS) situations, where concentration o…