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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 5 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
CVPR
2010
IEEE
13 years 10 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Jonathan Brandt
ADC
2006
Springer
136views Database» more  ADC 2006»
14 years 4 months ago
A multi-step strategy for approximate similarity search in image databases
Many strategies for similarity search in image databases assume a metric and quadratic form-based similarity model where an optimal lower bounding distance function exists for fil...
Paul Wing Hing Kwan, Junbin Gao
SSDBM
2002
IEEE
122views Database» more  SSDBM 2002»
14 years 3 months ago
ATreeGrep: Approximate Searching in Unordered Trees
An unordered labeled tree is a tree in which each node has a string label and the parent-child relationship is significant, but the order among siblings is unimportant. This pape...
Dennis Shasha, Jason Tsong-Li Wang, Huiyuan Shan, ...
AAAI
2000
14 years 8 days ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang