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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 7
  3. International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
  4. Pivot selection for metric-space indexing
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 6, December 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 5, October 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 3, June 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
Assisting cluster coherency via n-grams and clustering as a tool to deal with the new user problem
Periodic oscillatory behavior on a four-node neural network model with distributed delay
Twin support vector machines based on fruit fly optimization algorithm
Relaxed passivity conditions for discrete-time stochastic delayed neural networks
Interval valued intuitionistic fuzzy sets in $$\Gamma $$ -semihypergroups
Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm
Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm
Mining frequent itemsets using the N-list and subsume concepts
An adjustable multigranulation fuzzy rough set
Restricted overlay routing
Certain types of intuitionistic fuzzy directed hypergraphs
Fast algorithms of attribute reduction for covering decision systems with minimal elements in discernibility matrix
Pivot selection for metric-space indexing
An efficient design of CMOS comparator and folded cascode op-amp circuits using particle swarm optimization with an aging leader and challengers algorithm
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 1, February 2016
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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International journal of machine learning and cybernetics

Article

Pivot selection for metric-space indexing

Content Provider SpringerLink
Author Mao, Rui Zhang, Peihan Li, Xingliang Liu, Xi Lu, Minhua
Copyright Year 2016
Abstract Metric-space indexing abstracts various data types into universal metric spaces and prunes data only exploiting the triangle inequality of the distance function in metric spaces. Since there is no coordinates in metric space, one usually first pick a number of reference points, pivots, and consider the distances from a data point to the pivots as its coordinates. In this paper, we first survey and discuss the state of the art of pivot selection for metric-space indexing from the perspectives of importance, objective function, number of pivots, and selection algorithm. Further, we propose a new objective function, a new method to determine the number of pivots and an incremental sampling framework for pivot selection. Experimental results show that the new objective function is more consistent with the query performance, the new method to determine the number of pivots is more efficient, and the incremental sampling framework leads to better query performance.
Starting Page 311
Ending Page 323
Page Count 13
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 7
Issue Number 2
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2016-02-03
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Metric-space indexing Pivot selection Intrinsic dimension Objective function Range query Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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