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» Correlation Power Analysis with a Leakage Model
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BMCBI
2010
182views more  BMCBI 2010»
14 years 11 months ago
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Jo A. Helmuth, Grégory Paul, Ivo F. Sbalzar...
VLSID
2006
IEEE
183views VLSI» more  VLSID 2006»
15 years 5 months ago
Design Challenges for High Performance Nano-Technology
This tutorial present the key aspects of design challenges and its solutions that are being experienced in VLSI design in the era of nano technology. The focus will be on design c...
Goutam Debnath, Paul J. Thadikaran
HPCA
2008
IEEE
16 years 8 hour ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ICSE
2008
IEEE-ACM
16 years 13 days ago
Predicting accurate and actionable static analysis warnings: an experimental approach
Static analysis tools report software defects that may or may not be detected by other verification methods. Two challenges complicating the adoption of these tools are spurious f...
Joseph R. Ruthruff, John Penix, J. David Morgentha...
ACII
2011
Springer
13 years 11 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...