Anil Kumar Ghosh

According to our database, Anil Kumar Ghosh authored at least 30 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Classification using global and local Mahalanobis distances.

Annesha Ghosh, Anil Kumar Ghosh, Rita SahaRay, Soham Sarkar

J. Multivar. Anal., 2025

2024

On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification.

Sarbojit Roy, Soham Sarkar, Subhajit Dutta, Anil Kumar Ghosh

J. Comput. Graph. Stat., 2024

On high-dimensional modifications of the nearest neighbor classifier.

Annesha Ghosh, Bilol Banerjee, Anil Kumar Ghosh

CoRR, 2024

2022

Some clustering-based exact distribution-free k-sample tests applicable to high dimension, low sample size data.

Biplab Paul, Shyamal K. De, Anil Kumar Ghosh

J. Multivar. Anal., 2022

On Generalizations of Some Distance Based Classifiers for HDLSS Data.

Sarbojit Roy, Soham Sarkar, Subhajit Dutta, Anil Kumar Ghosh

J. Mach. Learn. Res., 2022

2020

On some consistent tests of mutual independence among several random vectors of arbitrary dimensions.

Angshuman Roy, Soham Sarkar, Anil Kumar Ghosh, Alok Goswami

Stat. Comput., 2020

On Perfect Clustering of High Dimension, Low Sample Size Data.

Soham Sarkar, Anil Kumar Ghosh

IEEE Trans. Pattern Anal. Mach. Intell., 2020

On some graph-based two-sample tests for high dimension, low sample size data.

Soham Sarkar, Rahul Biswas, Anil Kumar Ghosh

Mach. Learn., 2020

2018

Some Multivariate Tests of Independence Based on Ranks of Nearest Neighbors.

Soham Sarkar, Anil Kumar Ghosh

Technometrics, 2018

2017

Some high-dimensional one-sample tests based on functions of interpoint distances.

Enakshi Saha, Soham Sarkar, Anil Kumar Ghosh

J. Multivar. Anal., 2017

2016

High dimensional nearest neighbor classification based on mean absolute differences of inter-point distances.

Arnab K. Pal, Pronoy K. Mondal, Anil Kumar Ghosh

Pattern Recognit. Lett., 2016

On some transformations of high dimension, low sample size data for nearest neighbor classification.

Subhajit Dutta, Anil Kumar Ghosh

Mach. Learn., 2016

Multi-scale Classification using Localized Spatial Depth.

Subhajit Dutta, Soham Sarkar, Anil Kumar Ghosh

J. Mach. Learn. Res., 2016

2015

Tests for statistical significance of a treatment effect in the presence of hidden sub-populations.

Bikram Karmakar, Kumaresh Dhara, Kushal Kumar Dey, Analabha Basu, Anil Kumar Ghosh

Stat. Methods Appl., 2015

On high dimensional two-sample tests based on nearest neighbors.

Pronoy K. Mondal, Munmun Biswas, Anil Kumar Ghosh

J. Multivar. Anal., 2015

2014

A nonparametric two-sample test applicable to high dimensional data.

Munmun Biswas, Anil Kumar Ghosh

J. Multivar. Anal., 2014

A Statistical Approach towards Secure Location Verification in noisy Wireless channels.

Partha Sarathi Mandal, Anil Kumar Ghosh

Int. J. Found. Comput. Sci., 2014

2013

Using Daikon to Prioritize and Group Unit Bugs.

Nehul Jain, Saikat Dutta, Ansuman Banerjee, Anil Kumar Ghosh, Lihua Xu, Huibiao Zhu

Proceedings of the Formal Aspects of Component Software - 10th International Symposium, 2013

2012

A probabilistic approach for semi-supervised nearest neighbor classification.

Anil Kumar Ghosh

Pattern Recognit. Lett., 2012

On hybrid classification using model assisted posterior estimates.

Anil Kumar Ghosh, Fred Godtliebsen

Pattern Recognit., 2012

2011

Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis.

Subhadeep Mukhopadhyay, Anil Kumar Ghosh

Comput. Stat. Data Anal., 2011

Secure Position Verification for Wireless Sensor Networks in Noisy Channels.

Partha Sarathi Mandal, Anil Kumar Ghosh

Proceedings of the Ad-hoc, Mobile, and Wireless Networks - 10th International Conference, 2011

2009

Classification Based on Hybridization of Parametric and Nonparametric Classifiers.

Probal Chaudhuri, Anil Kumar Ghosh, Hannu Oja

IEEE Trans. Pattern Anal. Mach. Intell., 2009

2007

Feature Extraction for Classification Using Statistical Networks.

Anil Kumar Ghosh, Smarajit Bose

Int. J. Pattern Recognit. Artif. Intell., 2007

2006

Multiscale Classification Using Nearest Neighbor Density Estimates.

Anil Kumar Ghosh, Probal Chaudhuri, C. A. Murthy

IEEE Trans. Syst. Man Cybern. Part B, 2006

Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization.

Anil Kumar Ghosh, Probal Chaudhuri, Debasis Sengupta

Technometrics, 2006

On optimum choice of k.

Anil Kumar Ghosh

Comput. Stat. Data Anal., 2006

2005

On Visualization and Aggregation of Nearest Neighbor Classifiers.

Anil Kumar Ghosh, Probal Chaudhuri, C. A. Murthy

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Feature Extraction for Nonlinear Classification.

Anil Kumar Ghosh, Smarajit Bose

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004

Backfitting neural networks.

Anil Kumar Ghosh, Smarajit Bose

Comput. Stat., 2004