A Matlab toolbox for sampling inverse problems with complex priors
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Updated
Feb 4, 2024 - MATLAB
A Matlab toolbox for sampling inverse problems with complex priors
Final Projects are required for both Graduate Students and PHY 451Y students. Students can choose to work individually or in groups of two to propose, perform, and present a final project for the course. This project will be a project that uses methods taught in this course to solve a data analysis or signal processing problem.
Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
Matlab interface to Stan, a package for Bayesian inference
An efficient and robust probabilistic approach for fitting superellipse to point clouds.
Bayasian Sequential Simulation (BSS)
GPstuff - Gaussian process models for Bayesian analysis
A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.
Repository for the course project done as part of CS-215 (Data Analysis & Interpretation) course at IIT Bombay in Autumn 2021.
MATALAB code for "Clustering Curves Based on Change Point Analysis: A Nonparametric Bayesian Approach", Statistica Sinica
Assessing the validity and reproducibility of genome-scale predictions
Bayesian Statistics Guide
A MAP-MRF Framework for Image Denoising
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)
[Signal Processing 2020] Official implementation for "Bayesian Fusion for Infrared and Visible Images"
Normal Influence Diagram Matlab Code for Kalman Filtering
Implementation of approximate Bayesian inference with semi-mechanistic models.
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