Shunliang Mei

IEEE Signal Processing Letters · 2009

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 Shunliang Mei's perspective

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

1. Feature Selection via Concave Minimization and Support Vector Machines
2. Proportionate normalized least-mean-squares adaptation in echo cancelers (IEEE Transactions on Speech and Audio Processing)
3. Fundamentals of Artificial Neural Networks
4. Occam's razor
5. Bilinear separation of two sets inn-space
6. Cluster Analysis for Applications
7. An Incremental Gradient(-Projection) Method with Momentum Term and Adaptive Stepsize Rule
8. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
9. Machine Learning via Polyhedral Concave Minimization
10. SLIQ: A Fast Scalable Classifier for Data Mining

Their papers

• $l_{0}$ Norm Constraint LMS Algorithm for Sparse System Identification (2009) — 489 citations