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» Optimizing Data Transformations for Classification Tasks
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ICCV
2007
IEEE
14 years 9 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
14 years 1 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»
13 years 7 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
12 years 11 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»
13 years 8 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...