2 citations · 2 across the 4 of their papers we have counts for
4 papers
Dirichlet Process Mixtures of Trees with Gaussian Process Splits: A Bayesian Nonparametric Framework with Posterior Contraction Rate
Subhasish Basak, Anik Roy, Sourabh Bhattacharya
We propose a Bayesian nonparametric mixture of regression trees with a Dirichlet process prior over tree-parameter pairs, enabling data-driven selection of ensemble size and unifyi…
Monitoring of Drift Patterns in Image Data
Subhasish Basak, Anik Roy, Partha Sarathi Mukherjee
Sequential monitoring of images has broad applications across various domains, including climate science, ecosystem monitoring, medical diagnostics, and so forth. In many such appl…
Estimation of Piecewise Continuous Regression Function in Finite Dimension using Oblique Regression Tree with Applications in Image Denoising
Subhasish Basak, Anik Roy, Partha Sarathi Mukherjee
Decision trees are one of the most widely used nonparametric methods for regression and classification. In existing literature, decision tree-based methods have been used for estim…
An Efficient Image Denoising Method Integrating Multi-resolution Local Clustering and Adaptive Smoothing
Subhasish Basak, Partha Sarathi Mukherjee
The importance of developing efficient image denoising methods is immense especially for modern applications such as image comparisons, image monitoring, medical image diagnostics,…