Suresh Kumar

Probabilistic & Bayesian Methods · with Durrant-Whyte · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Suresh Kumar trusts overall

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

1. Matthew J. Beal
2. Zoubin Ghahramani
3. Geoffrey E. Hinton
4. Michael Milford
5. Iwan Ulrich
6. Arthur P. Dempster

Papers from Suresh Kumar's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. An Introduction to Variational Methods for Graphical Models
3. Information Theory: 1948-1998 - Guest Editorial
4. ImageNet classification with deep convolutional neural networks
5. A global geometric framework for nonlinear dimensionality reduction.
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Object recognition with features inspired by visual cortex
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Bayesian approach for place recognition (2012) — 21 citations