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» Algorithms for Learning Kernels Based on Centered Alignment
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VLDB
2004
ACM
118views Database» more  VLDB 2004»
14 years 27 days ago
On the performance of bitmap indices for high cardinality attributes
It is well established that bitmap indices are efficient for read-only attributes with low attribute cardinalities. For an attribute with a high cardinality, the size of the bitma...
Kesheng Wu, Ekow J. Otoo, Arie Shoshani
BMCBI
2006
166views more  BMCBI 2006»
13 years 7 months ago
SEQOPTICS: a protein sequence clustering system
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...
AAAI
2010
13 years 9 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
ISLPED
2003
ACM
138views Hardware» more  ISLPED 2003»
14 years 24 days ago
An environmental energy harvesting framework for sensor networks
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
Aman Kansal, Mani B. Srivastava
ICONIP
2007
13 years 9 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...