Ali A. Dashti

Signal Processing · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali A. Dashti trusts overall

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

  1. Sanjoy Dasgupta
  2. Nathan Bell
  3. Wei Dong
  4. Jie Chen
  5. Nikos Sismanis
  6. Mayur Datar
  7. Sunil Arya
  8. Ricardo J. Barrientos
  9. Yoav Freund
  10. J. Demmel

Papers from Ali A. Dashti's perspective

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

  1. Locality-sensitive hashing scheme based on p-stable distributions
  2. A global geometric framework for nonlinear dimensionality reduction.
  3. Benchmarking GPUs to tune dense linear algebra
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
  7. kNN Query Processing in Metric Spaces Using GPUs
  8. Random projection trees and low dimensional manifolds
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers