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» Optimizing Data Transformations for Classification Tasks
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ICCV
2007
IEEE
16 years 1 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
ICASSP
2007
IEEE
15 years 6 months ago
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
Martin J. McKeown, Junning Li, Xuemei Huang, Z. Ja...
ENTCS
2002
166views more  ENTCS 2002»
14 years 11 months ago
Translation and Run-Time Validation of Optimized Code
The paper presents approaches to the validation of optimizing compilers. The emphasis is on aggressive and architecture-targeted optimizations which try to obtain the highest perf...
Lenore D. Zuck, Amir Pnueli, Yi Fang, Benjamin Gol...
EICS
2011
ACM
14 years 3 months ago
Hayaku: designing and optimizing finely tuned and portable interactive graphics with a graphical compiler
Although reactive and graphically rich interfaces are now mainstream, their development is still a notoriously difficult task. This paper presents Hayaku, a toolset that supports...
Benjamin Tissoires, Stéphane Conversy
CATE
2004
190views Education» more  CATE 2004»
15 years 1 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...