T. Kearney

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom T. Kearney trusts

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

  1. Jeremy S. De Bonet (in Computer Vision and Pattern Recognition)
  2. B. Thompson (in Computer Networks and Communications)

Papers from T. Kearney's perspective

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

  1. This PDF file includes: Materials and Methods
  2. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  3. A global geometric framework for nonlinear dimensionality reduction.
  4. Nonlinear dimensionality reduction by locally linear embedding.
  5. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
  6. The Laplacian Pyramid as a Compact Image Code
  7. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
  8. Optimization by Simulated Annealing
  9. Fast texture synthesis using tree-structured vector quantization (International Conference on Computer Graphics and Interactive Techniques)
  10. Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling

Their papers