Luca Cazzanti

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Luca Cazzanti trusts

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

1. David G. Lowe (in Computer Vision and Pattern Recognition)
2. Eric R. Ziegel (in Statistics and Probability)
3. Christopher K. I. Williams (in Statistical Learning Theory)
4. Trevor J. Hastie (in Statistics and Probability)
5. Chih-Jen Lin (in Computer Vision and Pattern Recognition)
6. Hui Zou (in Statistics and Probability)

Papers from Luca Cazzanti's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Regression Shrinkage and Selection via the Lasso
3. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
4. The Elements of Statistical Learning
5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
6. Shape Matching and Object Recognition Using Shape Contexts
7. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
8. Addendum: Regularization and variable selection via the elastic net
9. The Earth Mover's Distance as a Metric for Image Retrieval
10. Pattern Classification

Their papers

• Similarity-based Classification: Concepts and Algorithms (2009) — 404 citations