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IJON
2007
184views more  IJON 2007»
13 years 9 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
WMASH
2004
ACM
14 years 3 months ago
LOCATOR: location estimation system For wireless LANs
With the wide spread growth of mobile computing devices and local area wireless networks, wireless network providers have started to target the users with value-added services bas...
Ankur Agiwal, Parakram Khandpur, Huzur Saran
ICANN
2005
Springer
14 years 3 months ago
Model Selection Under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
SBACPAD
2003
IEEE
103views Hardware» more  SBACPAD 2003»
14 years 3 months ago
Performance Analysis Issues for Parallel Implementations of Propagation Algorithm
This paper presents a theoretical study to evaluate the performance of a family of parallel implementations of the propagation algorithm. The propagation algorithm is used to an i...
Leonardo Brenner, Luiz Gustavo Fernandes, Paulo Fe...
SIP
2001
13 years 11 months ago
Marching ridges
Marching Ridges is an algorithm for finding ridges of measurement functions defined for images, in which the ridges are defined as level sets of first derivatives of the measureme...
Jacob D. Furst, Stephen M. Pizer