Computer Sciences

A flexible Bayesian framework for unbiased estimation of timescales

An international team of researchers from Tübingen and Cold Spring Harbor (New York) has found a pioneering way of determining at what pace changes typically happen. The new method avoids previous systematic errors in estimating ...

Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

Computer Sciences

Recognizing the partially seen

When we open our eyes in the morning and take in that first scene of the day, we don't give much thought to the fact that our brain is processing the objects within our field of view with great efficiency and that it is compensating ...

page 1 from 2