Aditya N. Deshmukh

IEEE Journal of Oceanic Engineering · 2016

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

Whom Aditya N. Deshmukh trusts overall

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

1. Stéphane Mallat

Papers from Aditya N. Deshmukh's perspective

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

1. A wavelet tour of signal processing
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Distinctive Image Features from Scale-Invariant Keypoints
6. ImageNet classification with deep convolutional neural networks
7. Histograms of oriented gradients for human detection
8. This PDF file includes: Materials and Methods
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Building high-level features using large scale unsupervised learning

Their papers

• Neural-Network-Based Data Assimilation to Improve Numerical Ocean Wave Forecast (2016) — 57 citations