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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 11 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
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 11 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich
VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
14 years 11 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,...
VLSID
2004
IEEE
125views VLSI» more  VLSID 2004»
14 years 11 months ago
Energy-Optimizing Source Code Transformations for OS-driven Embedded Software
The increasing software content of battery-powered embedded systems has fueled much interest in techniques for developing energyefficient embedded software. Source code transforma...
Yunsi Fei, Srivaths Ravi, Anand Raghunathan, Niraj...
HPCA
2005
IEEE
14 years 11 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