Agma Juci Machado Traina
Computer Vision and Pattern Recognition · 2000–2012
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Agma Juci Machado Traina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Agma Juci Machado Traina's perspective
Ordered by how strongly the researchers Agma Juci Machado Traina trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- A sparse texture representation using local affine regions
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- An Efficient Algorithm for Fractal Analysis of Textures (2012) — 323 citations
- Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes (2000) — 311 citations