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FGR
2004
IEEE
159views Biometrics» more  FGR 2004»
15 years 9 months ago
Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
ICS
2005
Tsinghua U.
15 years 11 months ago
Think globally, search locally
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Kamen Yotov, Keshav Pingali, Paul Stodghill
ICML
2002
IEEE
16 years 6 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
VLDB
2007
ACM
147views Database» more  VLDB 2007»
16 years 6 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
CEC
2007
IEEE
16 years 10 days ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao