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JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
IH
1999
Springer
14 years 27 days ago
Hiding Signatures in Graph Coloring Solutions
Abstract. One way to protect a digital product is to embed an author's signature into the object in the form of minute errors. However, this technique cannot be directly appli...
Gang Qu, Miodrag Potkonjak
LCTRTS
1999
Springer
14 years 27 days ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...
INFOCOM
1998
IEEE
14 years 26 days ago
QoS Routing in Networks with Uncertain Parameters
We consider the problem of routing connections with quality of service (QoS) requirements across networks when the information available for making routing decisions is inaccurate....
Dean H. Lorenz, Ariel Orda
IPPS
1998
IEEE
14 years 26 days ago
Benchmarking the Task Graph Scheduling Algorithms
The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous processors to minimize the completion time has been extensively studied. The NPcompletene...
Yu-Kwong Kwok, Ishfaq Ahmad