Nadia Figueroa

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Nadia Figueroa trusts overall

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

1. Radford M. Neal
2. Christopher K. I. Williams
3. Chih-Jen Lin
4. Jacob Mattingley
5. Yunong Zhang
6. Antoine Bordes
7. Shuzhi Sam Ge
8. Matthew Zucker

Papers from Nadia Figueroa's perspective

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

1. LIBSVM: A library for support vector machines
2. Pattern Recognition and Machine Learning
3. Planning algorithms
4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
5. Fast Training of Support Vector Machines using Sequential Minimal Optimization
6. STOMP: Stochastic trajectory optimization for motion planning (IEEE International Conference on Robotics and Automation)
7. Fast Kernel Classifiers with Online and Active Learning
8. CHOMP: Gradient optimization techniques for efficient motion planning
9. ImageNet classification with deep convolutional neural networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A unified framework for coordinated multi-arm motion planning (2018) — 137 citations