W. J. Staszewskiy

2002

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 W. J. Staszewskiy trusts overall

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

  1. John F. Canny
  2. Stéphane Mallat

Papers from W. J. Staszewskiy's perspective

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

  1. A Computational Approach to Edge Detection
  2. Theory of edge detection
  3. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  4. Theoretical and Experimental Modal Analysis of a 6 PUS PKM (International Conference on Informatics in Control, Automation and Robotics)
  5. Gradient-based learning applied to document recognition
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  9. Visualizing and Understanding Convolutional Networks
  10. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Their papers