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DCC
2009
IEEE
16 years 7 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
INFOCOM
2010
IEEE
15 years 5 months ago
Analyzing Nonblocking Switching Networks using Linear Programming (Duality)
Abstract—The main task in analyzing a switching network design (including circuit-, multirate-, and photonic-switching) is to determine the minimum number of some switching compo...
Hung Q. Ngo, Atri Rudra, Anh N. Le, Thanh-Nhan Ngu...
ICSE
2008
IEEE-ACM
16 years 7 months ago
Time-bounded adaptation for automotive system software
Software is increasingly deployed in vehicles as demand for new functionality increases and cheaper and more powerful hardware becomes available. Likewise, emerging wireless commu...
Aline Senart, Douglas C. Schmidt, Serena Fritsch, ...
TGC
2005
Springer
16 years 5 days ago
A General Name Binding Mechanism
We study fusion and binding mechanisms in name passing process calculi. To this purpose, we introduce the U-Calculus, a process calculus with no I/O polarities and a unique form of...
Michele Boreale, Maria Grazia Buscemi, Ugo Montana...
DCC
2003
IEEE
16 years 10 hour ago
Universal Multiple Description Scalar Quantization: Analysis and Design
—This paper introduces a new high-rate analysis of the multiple description scalar quantizer (MDSQ) with balanced descriptions. The analysis provides insight into the structure o...
Chao Tian, Sheila S. Hemami