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» On the Complexity of Function Learning
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139
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TIP
2008
175views more  TIP 2008»
15 years 4 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
121
Voted
SPIRE
2010
Springer
15 years 2 months ago
Hypergeometric Language Model and Zipf-Like Scoring Function for Web Document Similarity Retrieval
The retrieval of similar documents in the Web from a given document is different in many aspects from information retrieval based on queries generated by regular search engine use...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...
ICASSP
2011
IEEE
14 years 7 months ago
Jump Function Kolmogorov for overlapping audio event classification
This paper presents a novel method for audio event classi cation in overlapping conditions. The method is based on Jump Function Kolmogorov (JFK), a stochastic representation, whi...
Tran Huy Dat, Haizhou Li
ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
CHI
2008
ACM
16 years 4 months ago
Evaluation of a role-based approach for customizing a complex development environment
Coarse-grained approaches to customization allow the user to enable or disable groups of features at once, rather than individual features. While this may reduce the complexity of...
Leah Findlater, Joanna McGrenere, David Modjeska