Haolin Liang

Computer Vision and Pattern Recognition · 2017

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 Haolin Liang trusts

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

  1. Chih-Jen Lin (in Computer Vision and Pattern Recognition)
  2. Peter J. Rousseeuw (in Evaluation & Benchmarks)

Papers from Haolin Liang's perspective

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

  1. LIBSVM: A library for support vector machines
  2. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  3. Vlfeat: an open and portable library of computer vision algorithms
  4. Building the gist of a scene: the role of global image features in recognition.
  5. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  6. Probabilistic topic models
  7. Bag-of-visual-words and spatial extensions for land-use classification
  8. Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery
  9. Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
  10. Discovering regions of different functions in a city using human mobility and POIs (Knowledge Discovery and Data Mining)

Their papers