Nan-Ying Liang

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nan-Ying Liang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. G. Huang
  2. David E. Rumelhart
  3. Paramasivan Saratchandran
  4. Chee Kheong Siew
  5. Qin-Yu Zhu
  6. Narasimhan Sundararajan
  7. Lei Chen
  8. Geoffrey E. Hinton
  9. Ronald J. Williams

Who trusts Nan-Ying Liang overall

  1. G. Huang
  2. A. van Schaik
  3. Gao Huang
  4. A. Nizar
  5. Jiexiong Tang
  6. Firas Bayram
  7. Viktor Losing
  8. Hai-Jun Rong
  9. Han Zou
  10. M. Mohammadi

Papers from Nan-Ying Liang's perspective

Ordered by how strongly the researchers Nan-Ying Liang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning internal representations by error propagation
  2. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  3. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
  4. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
  5. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
  6. Extreme learning machine: Theory and applications
  7. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Histograms of oriented gradients for human detection
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers