Results 341 to 350 of about 10,285,360 (401)

FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE-BASED REDUNDANCY ANALYSIS

Ecology, 2001
Nonparametric multivariate analysis of ecological data using permutation tests has two main challenges: (1) to partition the variability in the data according to a complex design or model, as is often required in ecological experiments, and (2) to base ...
Marti J Anderson
exaly   +2 more sources

Overcoming the rate–distance limit of quantum key distribution without quantum repeaters

Nature, 2018
Quantum key distribution (QKD)1,2 allows two distant parties to share encryption keys with security based on physical laws. Experimentally, QKD has been implemented via optical means, achieving key rates of 1.26 megabits per second over 50 kilometres of ...
Marco Lucamarini, Zhiliang Yuan
exaly   +2 more sources

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Computer Vision and Pattern Recognition, 2019
Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to representing 3D geometry for rendering and reconstruction. These provide trade-offs across fidelity, efficiency and compression capabilities. In this work,
Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, S. Lovegrove   +4 more
semanticscholar   +1 more source

Distance Metric Learning for Large Margin Nearest Neighbor Classification

Neural Information Processing Systems, 2005
The accuracy of k-nearest neighbor (kNN) classification depends significantly on the metric used to compute distances between different examples. In this paper, we show how to learn a Mahalanobis distance metric for kNN classification from labeled ...
Kilian Q. Weinberger, L. Saul
semanticscholar   +1 more source

Protein structure comparison by alignment of distance matrices.

Journal of Molecular Biology, 1993
With a rapidly growing pool of known tertiary structures, the importance of protein structure comparison parallels that of sequence alignment. We have developed a novel algorithm (DALI) for optimal pairwise alignment of protein structures.
L. Holm, C. Sander
semanticscholar   +1 more source