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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ICWS
2009
IEEE
16 years 3 months ago
Distributed Cross-Domain Change Management
Distributed systems increasingly span organizational boundaries and, with this, system and service management domains. Web services are the primary means of exposing services to c...
Bruno Wassermann, Heiko Ludwig, Jim Laredo, Kamal ...
EUROSYS
2007
ACM
16 years 3 months ago
Fine grained kernel logging with KLogger: experience and insights
Understanding the detailed behavior of an operating system is crucial for making informed design decisions. But such an understanding is very hard to achieve, due to the increasin...
Yoav Etsion, Dan Tsafrir, Scott Kirkpatrick, Dror ...
175
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EUROGRAPHICS
2010
Eurographics
16 years 3 months ago
Global Illumination Compensation for Spatially Augmented Reality
When projectors are used to display images on complex, non-planar surface geometry, indirect illumination between the surfaces will disrupt the final appearance of this imagery, ...
Yu Sheng, Theodore C. Yapo, Barbara Cutler
ALT
2007
Springer
16 years 3 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
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