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NIPS
2004
13 years 7 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
PPSN
2000
Springer
13 years 9 months ago
An Analysis of Dynamic Severity and Population Size
This work introduces a general mathematical framework for non-stationary fitness functions which enables the exact definition of certain problem properties. The properties' in...
Karsten Weicker
EMO
2003
Springer
86views Optimization» more  EMO 2003»
13 years 11 months ago
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Abstract. The classic NFL theorems are invariably cast in terms of single objective optimization problems. We confirm that the classic NFL theorem holds for general multiobjective ...
David Corne, Joshua D. Knowles
CVPR
2012
IEEE
11 years 8 months ago
A fast nearest neighbor search algorithm by nonlinear embedding
We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for largescale computer vision problems. We embed data points nonlinearly on...
Yoonho Hwang, Bohyung Han, Hee-Kap Ahn
CIDM
2007
IEEE
14 years 3 days ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick