Maneesh Bhand

Computer Vision and Pattern Recognition · 2011

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it; #3,088 of 3,145 by trust here, #1,109 by citations

Whom Maneesh Bhand trusts overall

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

1. Alex Krizhevsky

Who trusts Maneesh Bhand overall

1. Andrew Y. Ng

Papers from Maneesh Bhand's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Learning methods for generic object recognition with invariance to pose and lighting
3. What is the best multi-stage architecture for object recognition?
4. LIBLINEAR: A Library for Large Linear Classification
5. ImageNet classification with deep convolutional neural networks
6. Tiled convolutional neural networks
7. Gradient-based learning applied to document recognition
8. A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning

Their papers

• On Random Weights and Unsupervised Feature Learning (2011) — 462 citations