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ICASSP
2011
IEEE
14 years 5 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
ECML
2003
Springer
15 years 6 months ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
14 years 11 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
CLEF
2006
Springer
15 years 5 months ago
The University of New South Wales at GeoCLEF 2006
This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. The main objective of this study is to evaluate the retr...
You-Heng Hu, Linlin Ge
ASPLOS
1996
ACM
15 years 5 months ago
The Structure and Performance of Interpreters
Interpreted languages have become increasingly popular due to demands for rapid program development, ease of use, portability, and safety. Beyond the general impression that they ...
Theodore H. Romer, Dennis Lee, Geoffrey M. Voelker...