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» On the performance of one-to-many data transformations
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FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
13 years 23 days ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
PPOPP
2011
ACM
12 years 12 months ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller
SAC
2006
ACM
14 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
SP
2005
IEEE
188views Security Privacy» more  SP 2005»
14 years 2 months ago
BIND: A Fine-Grained Attestation Service for Secure Distributed Systems
In this paper, we propose BIND (Binding Instructions aNd Data),1 a fine-grained attestation service for securing distributed systems. Code attestation has recently received consi...
Elaine Shi, Adrian Perrig, Leendert van Doorn
SIGMOD
1996
ACM
84views Database» more  SIGMOD 1996»
14 years 1 months ago
Change Detection in Hierarchically Structured Information
Detecting and representing changes to data is important for active databases, data warehousing, view maintenance, and version and configuration management. Most previous work in c...
Sudarshan S. Chawathe, Anand Rajaraman, Hector Gar...