Young K. Chang

Computers and Electronics in Agriculture · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Young K. Chang's perspective

Ordered by how strongly the researchers Young K. Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Threshold Selection Method from Gray-Level Histograms
2. Statistical learning theory
3. Quantitative evaluation of Tarocco sweet orange fruit shape using optoelectronic elliptic Fourier based analysis
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. CLASSIFICATION OF WEED SPECIES USING COLOR TEXTURE FEATURES AND DISCRIMINANT ANALYSIS
6. A Tutorial on Support Vector Machines for Pattern Recognition
7. Reinforcement Learning: An Introduction
8. k-means++: the advantages of careful seeding
9. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
10. Learning techniques used in computer vision for food quality evaluation: a review

Their papers

• Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019) — 343 citations