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ALT
2007
Springer
14 years 7 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
ICC
2009
IEEE
196views Communications» more  ICC 2009»
14 years 5 months ago
Joint Flow Control, Routing and Medium Access Control in Random Access Multi-Hop Wireless Networks
This work extends the existing static framework for joint flow control, routing and medium access control (MAC) in random access multi-hop wireless networks to a dynamic framewor...
Sucha Supittayapornpong, Poompat Saengudomlert
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
14 years 4 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
FOCI
2007
IEEE
14 years 4 months ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang
IEEEPACT
2007
IEEE
14 years 4 months ago
L1 Cache Filtering Through Random Selection of Memory References
Distinguishing transient blocks from frequently used blocks enables servicing references to transient blocks from a small fully-associative auxiliary cache structure. By inserting...
Yoav Etsion, Dror G. Feitelson