K. Umapathy

2005

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom K. Umapathy trusts overall

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

1. Stéphane Mallat
2. Zhifeng Zhang
3. Tao Li

Papers from K. Umapathy's perspective

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

1. Matching pursuits with time-frequency dictionaries
2. Factors in automatic musical genre classification of audio signals (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Histograms of oriented gradients for human detection
8. ImageNet classification with deep convolutional neural networks
9. This PDF file includes: Materials and Methods
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Feature analysis of pathological speech signals using local discriminant bases technique (2005) — 35 citations