Christopher M. Brown
Pattern Recognition · with Boutell · 2004
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Whom Christopher M. Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christopher M. Brown overall
Papers from Christopher M. Brown's perspective
Ordered by how strongly the researchers Christopher M. Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
- BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Mean Shift: A Robust Approach Toward Feature Space Analysis
- A Tutorial on Support Vector Machines for Pattern Recognition
- Machine learning in automated text categorization
- Image Segmentation by Data-driven Markov Chain Monte Carlo
- Knowledge Discovery in Multi-label Phenotype Data (European Conference on Principles of Data Mining and Knowledge Discovery)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Learning multi-label scene classification (2004) — 2,528 citations