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» Metric Embeddings with Relaxed Guarantees
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
13 years 2 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
FOCS
2004
IEEE
13 years 11 months ago
Triangulation and Embedding Using Small Sets of Beacons
Concurrent with recent theoretical interest in the problem of metric embedding, a growing body of research in the networking community has studied the distance matrix defined by n...
Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler
OSDI
2000
ACM
13 years 8 months ago
Design and Evaluation of a Continuous Consistency Model for Replicated Services
The tradeoffs between consistency, performance, and availability are well understood. Traditionally, however, designers of replicated systems have been forced to choose from eithe...
Haifeng Yu, Amin Vahdat
IJPRAI
2010
151views more  IJPRAI 2010»
13 years 6 months ago
Structure-Embedded AUC-SVM
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
Yunyun Wang, Songcan Chen, Hui Xue
DAC
2001
ACM
14 years 8 months ago
Battery-Aware Static Scheduling for Distributed Real-Time Embedded Systems
This paper addresses battery-aware static scheduling in batterypowered distributed real-time embedded systems. As suggested by previous work, reducing the discharge current level ...
Jiong Luo, Niraj K. Jha