Viktors Berstis

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Viktors Berstis trusts

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

  1. Ron Kohavi (in Evaluation & Benchmarks)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Cordelia Schmid (in Computer Vision and Pattern Recognition)

Papers from Viktors Berstis's perspective

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

  1. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  2. Support-Vector Networks
  3. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
  4. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
  5. Experiments with a New Boosting Algorithm
  6. A Global Geometric Framework for Nonlinear Dimensionality Reduction
  7. Classifying Images of Materials: Achieving Viewpoint and Illumination Independence (European Conference on Computer Vision)
  8. Textural Features for Image Classification
  9. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  10. Modern multidimensional scaling: Theory and applications, 2nd ed.

Their papers