140 kilometres northeast of Montreal. The company makes wood veneers: thin sheets of a wide variety of species — maple, ash, eucalyptus — that are then applied to plywood used for ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

In a world where credential breaches cost companies millions, strong authentication isn't optional—it's essential. This ...

Abstract: Most existing unsupervised person re-identification (ReID) methods utilize a transfer learning paradigm that requires independent source annotations. Although recent Unsupervised Domain ...

This project is a Torch implementation for our CVPR 2016 paper, which performs jointly unsupervised learning of deep CNN and image clusters. The intuition behind this is that better image ...

Our ultimate cheat sheet collection has nuggets of photographic know-how for all user levels and all kinds of photographic interests – and we've even organized them into categories to make them easier ...