Ali Heidari

Civil and Structural Engineering · 2004–2013

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

Subfields

Whom Ali Heidari trusts overall

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

  1. Stéphane Mallat
  2. F. Pacheco-Torgal

Who trusts Ali Heidari overall

  1. Yonathan Reches
  2. Paratibha Aggarwal

Papers from Ali Heidari's perspective

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

  1. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  2. TIME HISTORY DYNAMIC ANALYSIS OF STRUCTURES USING FILTER BANKS AND WAVELET TRANSFORMS
  3. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. This PDF file includes: Materials and Methods
  8. Histograms of oriented gradients for human detection
  9. ImageNet classification with deep convolutional neural networks
  10. Building high-level features using large scale unsupervised learning

Their papers