T. Gaiser

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Gaiser trusts

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

  1. Lothar Rudi Schad (in Artificial Intelligence)
  2. Frank G. Zöllner (in Artificial Intelligence)

Papers from T. Gaiser's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  4. SUN database: Large-scale scene recognition from abbey to zoo
  5. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  6. Textons, the elements of texture perception, and their interactions
  7. Deep Learning
  8. Textural Features Corresponding to Visual Perception
  9. The FERET database and evaluation procedure for face-recognition algorithms
  10. Identification of tumor epithelium and stroma in tissue microarrays using texture analysis

Their papers