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TC
2008
13 years 9 months ago
On-Demand Solution to Minimize I-Cache Leakage Energy with Maintaining Performance
This paper describes a new on-demand wake-up prediction policy for reducing leakage power. The key insight is that branch prediction can be used to selectively wake up only the nee...
Sung Woo Chung, Kevin Skadron
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 7 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
EUROSPI
2008
Springer
13 years 10 months ago
Lightweight Process Documentation: Just Enough Structure in Automotive Pre-development
Pre-development in the automotive sector is informally organized to support the engineers trying out new ideas and generally being creative. If feasibility studies reveal system�...
Kai Stapel, Eric Knauss, Christian Allmann
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Analytical Model of Zero Quantized DCT Coefficients for Video Encoder Optimization
This paper proposes a novel analytical model to predict zero quantized DCT coefficients for fast video encoding. The dynamic range of quantized DCT coefficients are analyzed and...
Hanli Wang, Sam Kwong, Chi-Wah Kok
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan