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ICML
2010
IEEE
15 years 7 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
CORR
2008
Springer
106views Education» more  CORR 2008»
15 years 6 months ago
Multiprocessor Global Scheduling on Frame-Based DVFS Systems
In this work, we are interested in multiprocessor energy efficient systems where task durations are not known in advance but are known stochastically. More precisely we consider g...
Vandy Berten, Joël Goossens
COCOON
2005
Springer
15 years 11 months ago
Min-Energy Voltage Allocation for Tree-Structured Tasks
Westudyjobschedulingonprocessorscapableofrunningatvariablevoltage/speed tominimizeenergyconsumption.Eachjob ina probleminstanceisspecifiedbyitsarrivaltime and deadline, together w...
Minming Li, Becky Jie Liu, Frances F. Yao
BILDMED
2009
125views Algorithms» more  BILDMED 2009»
15 years 7 months ago
Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis
A drawback of the commonly used single source computed tomography systems (CT) is that different materials might show very similar attenuation at any selected radiation energy. How...
Stefan C. Saur, Hatem Alkadhi, Luca Regazzoni, Sim...
AINA
2009
IEEE
16 years 23 days ago
Distributed Search for Balanced Energy Consumption Spanning Trees in Wireless Sensor Networks
— Sensor networks are commonly used for security and surveillance applications. As sensor nodes have limited battery paower, computing, and storage resources, the energy efficie...
Andrei Gagarin, Sajid Hussain, Laurence Tianruo Ya...