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» Dependability Analysis: A New Application for Run-Time Recon...
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110
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IJCV
1998
105views more  IJCV 1998»
15 years 1 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
122
Voted
CPHYSICS
2007
222views more  CPHYSICS 2007»
15 years 1 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
142
Voted
ASPLOS
2010
ACM
15 years 5 months ago
Butterfly analysis: adapting dataflow analysis to dynamic parallel monitoring
Online program monitoring is an effective technique for detecting bugs and security attacks in running applications. Extending these tools to monitor parallel programs is challeng...
Michelle L. Goodstein, Evangelos Vlachos, Shimin C...
ICALP
2009
Springer
16 years 2 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
93
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ETS
2007
IEEE
81views Hardware» more  ETS 2007»
15 years 8 months ago
Parallel Scan-Like Testing and Fault Diagnosis Techniques for Digital Microfluidic Biochips
Dependability is an important attribute for microfluidic biochips that are used for safety-critical applications such as point-of-care health assessment, air-quality monitoring, a...
Tao Xu, Krishnendu Chakrabarty