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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
16 years 7 months ago
Power Monitors: A Framework for System-Level Power Estimation Using Heterogeneous Power Models
Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Nikhil Bansal, Kanishka Lahiri, Anand Raghunathan,...
HPCA
2005
IEEE
16 years 7 months ago
Using Virtual Load/Store Queues (VLSQs) to Reduce the Negative Effects of Reordered Memory Instructions
The use of large instruction windows coupled with aggressive out-oforder and prefetching capabilities has provided significant improvements in processor performance. In this paper...
Aamer Jaleel, Bruce L. Jacob
MOBIHOC
2005
ACM
16 years 6 months ago
An efficient scheme for authenticating public keys in sensor networks
With the advance of technology, Public Key Cryptography (PKC) will sooner or later be widely used in wireless sensor networks. Recently, it has been shown that the performance of ...
Wenliang Du, Ronghua Wang, Peng Ning
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
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