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ICPR
2010
IEEE
13 years 9 months ago
A Relationship between Generalization Error and Training Samples in Kernel Regressors
A relationship between generalization error and training samples in kernel regressors is discussed in this paper. The generalization error can be decomposed into two components. On...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
FLAIRS
2003
13 years 9 months ago
Sample Complexity of Real-Coded Evolutionary Algorithms
Researchers studying Evolutionary Algorithms and their applications have always been confronted with the sample complexity problem. The relationship between population size and gl...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
ICIP
2003
IEEE
14 years 9 months ago
Color correction and interpolation with few samples
With the proliferation of digital cameras, more consumers are faced with the problem of making color corrections to their pictures. while most picture editors allow some white poi...
H. Joel Trussell, Huiwen Zeng, Michael J. Vrhel
CSE
2009
IEEE
14 years 2 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu
FOCS
2006
IEEE
14 years 1 months ago
Fast Algorithms for Logconcave Functions: Sampling, Rounding, Integration and Optimization
We prove that the hit-and-run random walk is rapidly mixing for an arbitrary logconcave distribution starting from any point in the support. This extends the work of [26], where t...
László Lovász, Santosh Vempal...