131 citations · 222 across the 3 of their papers we have counts for
3 papers
cs.CV2012★ 28 cited
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation
Quan Wang
In this project, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. Then we generalize it to Gaussian mixtur…
cs.CV2012★ 131 cited
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
Quan Wang
Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which better exploits the…
cs.CV2012★ 63 cited
HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm
Quan Wang
In this project, we study the hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. We implement a MATLAB toolbox named HMRF-EM-image for 2D imag…