IEEE

Robust Model Fitting Using Higher Than Minimal Subset Sampling

Abstract: Identifying the underlying model in a set of data contaminated by noise and outliers is a fundamental task in computer vision. The cost function associated with such tasks is often highly ...
Thorax

Comparative performance of endobronchial ultrasound-guided sampling techniques in patients with mediastinal lesions: a network meta-analysis

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...
IEEE

Improving the Accuracy of the Adaptive Cross Approximation With a Convergence Criterion Based on Random Sampling

Abstract: The accuracy of the adaptive cross approximation (ACA) algorithm, a popular method for the compression of low-rank matrix blocks in method of moment computations, is sometimes seriously ...
Quanta Magazine

After 80 Years, Mathematicians Give Famed ‘Erdős Method’ an Upgrade

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
GitHub

TensorFlow Probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
The Straits Times

Tech workers who don’t embrace AI face triple the layoff risk, Gallup finds

SAN FRANCISCO – For tech workers, artificial intelligence may be delivering a benefit that goes beyond efficiency: a lower risk of being laid off. New research from Gallup finds that tech workers who ...
PNAS

RIM-binding protein 2 regulates release probability by fine-tuning calcium channel localization at murine hippocampal synapses

Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...