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» Constraints in Weighted Averaging
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HPCA
2012
IEEE
13 years 8 months ago
Booster: Reactive core acceleration for mitigating the effects of process variation and application imbalance in low-voltage chi
Lowering supply voltage is one of the most effective techniques for reducing microprocessor power consumption. Unfortunately, at low voltages, chips are very sensitive to process ...
Timothy N. Miller, Xiang Pan, Renji Thomas, Naser ...
ICCV
2007
IEEE
16 years 2 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
DAC
2007
ACM
16 years 1 months ago
Towards An Ultra-Low-Power Architecture Using Single-Electron Tunneling Transistors
Minimizing power consumption is vitally important in embedded system design; power consumption determines battery lifespan. Ultralow-power designs may even permit embedded systems...
Changyun Zhu, Zhenyu (Peter) Gu, Li Shang, Robert ...
ICML
2006
IEEE
16 years 1 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
DCC
2009
IEEE
16 years 27 days 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