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TMI
2010
172views more  TMI 2010»
13 years 7 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
IPPS
2010
IEEE
13 years 7 months ago
KRASH: Reproducible CPU load generation on many-core machines
Abstract--In this article we present KRASH, a tool for reproducible generation of system-level CPU load. This tool is intended for use in shared memory machines equipped with multi...
Swann Perarnau, Guillaume Huard
ECCV
2006
Springer
14 years 11 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond
SACMAT
2005
ACM
14 years 2 months ago
Composing and combining policies under the policy machine
As a major component of any host, or network operating system, access control mechanisms come in a wide variety of forms, each with their individual attributes, functions, methods...
David F. Ferraiolo, Serban I. Gavrila, Vincent C. ...
ASIAN
2004
Springer
150views Algorithms» more  ASIAN 2004»
14 years 2 months ago
Concurrent Constraint-Based Memory Machines: A Framework for Java Memory Models
A central problem in extending the von Neumann architecture to petaflop computers with millions of hardware threads and with a shared memory is defining the memory model [Lam79,...
Vijay A. Saraswat