Sciweavers

4738 search results - page 83 / 948
» Correlated Data Inference
Sort
View
82
Voted
HPCA
2008
IEEE
16 years 1 months ago
Address-branch correlation: A novel locality for long-latency hard-to-predict branches
Hard-to-predict branches depending on longlatency cache-misses have been recognized as a major performance obstacle for modern microprocessors. With the widening speed gap between...
Hongliang Gao, Yi Ma, Martin Dimitrov, Huiyang Zho...
ICPR
2010
IEEE
15 years 2 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
DFT
2002
IEEE
117views VLSI» more  DFT 2002»
15 years 5 months ago
Fast and Energy-Frugal Deterministic Test Through Test Vector Correlation Exploitation
Conversion of the flip-flops of the circuit into scan cells helps ease the test challenge; yet test application time is increased as serial shift operations are employed. Furthe...
Ozgur Sinanoglu, Alex Orailoglu
89
Voted
EPEW
2006
Springer
15 years 4 months ago
Experimental Analysis of the Correlation of HTTP GET Invocations
In this paper we experimentally investigate if optimal retry times can be determined based on models that assume independence of successive tries. We do this using data obtained fo...
Philipp Reinecke, Aad P. A. van Moorsel, Katinka W...
114
Voted
CORR
2008
Springer
167views Education» more  CORR 2008»
15 years 27 days ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...