Silvia Meniconi

2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Silvia Meniconi trusts overall

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

  1. David L. Donoho
  2. John F. Canny
  3. Stéphane Mallat

Papers from Silvia Meniconi's perspective

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

  1. De-noising by soft-thresholding
  2. Characterization of Signals from Multiscale Edges (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. A Computational Approach to Edge Detection
  4. EVALUATION OF UNSTEADY FLOW RESISTANCES BY QUASI-2D OR 1D MODELS. TECHNICAL NOTE
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Image quality assessment: from error visibility to structural similarity
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Gradient-based learning applied to document recognition

Their papers