Byeungwoo Jeon
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
- Media Technology — 6 citations into it
Whom Byeungwoo Jeon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Byeungwoo Jeon overall
Papers from Byeungwoo Jeon's perspective
Ordered by how strongly the researchers Byeungwoo Jeon trusts endorse each paper. Same corpus, a different order for every researcher.
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- Generalized fuzzy c-means clustering strategies using Lp norm distances (IEEE transactions on fuzzy systems)
- A tutorial on hidden Markov models and selected applications in speech recognition
- A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data (IEEE Transactions on Medical Imaging)
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
- Hierarchical Mixtures of Experts and the EM Algorithm
- Fuzzy c-means clustering with spatial information for image segmentation (Comput. Medical Imaging Graph.)
- A Robust Fuzzy Local Information C-Means Clustering Algorithm (IEEE Transactions on Image Processing)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Image segmentation by generalized hierarchical fuzzy C-means algorithm (2015) — 461 citations