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OSDI
2002
ACM
15 years 10 months ago
Vertigo: Automatic Performance-Setting for Linux
Combining high performance with low power consumption is becoming one of the primary objectives of processor designs. Instead of relying just on sleep mode for conserving power, a...
Krisztián Flautner, Trevor N. Mudge
VLDB
2000
ACM
229views Database» more  VLDB 2000»
15 years 1 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
ESORICS
2008
Springer
14 years 11 months ago
State Space Reduction in the Maude-NRL Protocol Analyzer
The Maude-NRL Protocol Analyzer (Maude-NPA) is a tool and inference system for reasoning about the security of cryptographic protocols in which the cryptosystems satisfy different ...
Santiago Escobar, Catherine Meadows, José M...
TASLP
2008
102views more  TASLP 2008»
14 years 9 months ago
On the Importance of the Pearson Correlation Coefficient in Noise Reduction
Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decade...
Jacob Benesty, Jingdong Chen, Yiteng Huang
CVPR
2008
IEEE
15 years 11 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic