An Efficient Algorithm for Approximating Geodesic Distances in Tree Space

2011 ◽  
Vol 8 (5) ◽  
pp. 1196-1207 ◽  
Author(s):  
S. Battagliero ◽  
G. Puglia ◽  
S. Vicario ◽  
F. Rubino ◽  
G. Scioscia ◽  
...  
Keyword(s):  
Efficient Algorithm ◽  
Tree Space ◽  
Geodesic Distances

scholarly journals Computing Geodesic Distances in Tree Space

2011 ◽  
Vol 25 (4) ◽  
pp. 1506-1529 ◽  
Author(s):  
Megan Owen
Keyword(s):  
Tree Space ◽  
Geodesic Distances

Computational Micrograph Registration with Sieve Processes

1996 ◽  
Vol 54 ◽  
pp. 440-441
Author(s):  
P.J. Phillips ◽  
J. Huang ◽  
S. M. Dunn
Keyword(s):  
Planar Graph ◽  
Efficient Algorithm ◽  
Spatial Organization ◽  
Spatial Arrangement ◽  
Stereo Image ◽  
Image Model ◽  
Geometric Invariants ◽  
Point Set

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.

Geodesic distances in the intrinsic dimensionality estimation using packing numbers

2014 ◽  
Vol 19 (4) ◽  
pp. 578-591 ◽  
Author(s):  
Rasa Karbauskaitė ◽  
◽  
Gintautas Dzemyda ◽  
Keyword(s):  
Geodesic Distances ◽  
Intrinsic Dimensionality

Energy efficient algorithm for lookup-tables on mobile devices

2016 ◽  
Vol 2016 (7) ◽  
pp. 1-6
Author(s):  
Sergey Makov ◽  
Vladimir Frantc ◽  
Viacheslav Voronin ◽  
Igor Shrayfel ◽  
Vadim Dubovskov ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Efficient Algorithm ◽  
Energy Efficient ◽  
Lookup Tables
Sign in / Sign up

Export Citation Format

Share Document