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MVA
2007
165views Computer Vision» more  MVA 2007»
15 years 1 months ago
Self-Calibration for Metric 3D Reconstruction Using Homography
In this paper, our goal is to reconstruct metric 3D models for large structures (or other 3D objects) from uncalibrated images. The internal camera parameters are estimated by usi...
Cheng-Yuan Tang, Yi-Leh Wu, Pei-Ching Hu, Hsien-Ch...
NIPS
2004
15 years 1 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
APVIS
2009
15 years 28 days ago
Visualizing metrics on areas of interest in software architecture diagrams
We present a new method for the combined visualization of software architecture diagrams, such as UML class diagrams or component diagrams, and software metrics defined on groups ...
Heorhiy Byelas, Alexandru Telea
CORR
2008
Springer
116views Education» more  CORR 2008»
14 years 12 months ago
To which extend is the "neural code" a metric ?
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
Bruno Cessac, Horacio Rostro-González, Juan...
JMLR
2010
189views more  JMLR 2010»
14 years 6 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...