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IPMI
2011
Springer
12 years 10 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
ICML
2000
IEEE
14 years 8 months ago
Bounds on the Generalization Performance of Kernel Machine Ensembles
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
Luis Pérez-Breva, Massimiliano Pontil, Theo...
WWW
2006
ACM
14 years 8 months ago
Finding visual concepts by web image mining
We propose measuring "visualness" of concepts with images on the Web, that is, what extent concepts have visual characteristics. This is a new application of "Web i...
Keiji Yanai, Kobus Barnard
EUROSYS
2011
ACM
12 years 10 months ago
Finding complex concurrency bugs in large multi-threaded applications
Parallel software is increasingly necessary to take advantage of multi-core architectures, but it is also prone to concurrency bugs which are particularly hard to avoid, find, an...
Pedro Fonseca, Cheng Li, Rodrigo Rodrigues
SAC
2008
ACM
13 years 5 months ago
ICER: a tool for finding errors in a UML model
Detecting errors in an early phase of software development can help to reduce the cost of software systems. Many research attempts presented a fixed set of rules to help finding e...
Wuwei Shen, Dae-Kyoo Kim