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» Nonlinear functional regression: a functional RKHS approach
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IDA
2002
Springer
13 years 7 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
ECCV
2004
Springer
14 years 24 days ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ISCAS
2005
IEEE
132views Hardware» more  ISCAS 2005»
14 years 1 months ago
N-scroll chaotic attractors from a general jerk circuit
— This paper proposes a novel nonlinear modulating function approach for generating n−scroll chaotic attractors based on a general jerk circuit. The systematic nonlinear modula...
Simin Yu, Jinhu Lu, Henry Leung, Guanrong Chen
VLSISP
2010
254views more  VLSISP 2010»
13 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
BMCBI
2010
97views more  BMCBI 2010»
13 years 7 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg