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MICCAI
2001
Springer
13 years 12 months ago
Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration
Abstract. Non-rigid registration can automatically quantify small changes in volume of anatomical structures over time by means of segmentation propagation. Here we use a non-rigid...
Mark Holden, Julia A. Schnabel, Derek L. G. Hill
ISCAS
2007
IEEE
117views Hardware» more  ISCAS 2007»
14 years 1 months ago
Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System
— Event-driven spike-based processing systems offer new possibilities for real-time vision. Signals are encoded asynchronously in time thus preserving the time information of the...
Matthias Oster, Rodney J. Douglas, Shih-Chii Liu
SRDS
2007
IEEE
14 years 1 months ago
Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management
Networked computing systems continue to grow in scale and in the complexity of their components and interactions. Component failures become norms instead of exceptions in these en...
Song Fu, Cheng-Zhong Xu
IEEEPACT
2002
IEEE
14 years 14 days ago
Quantifying Instruction Criticality
Information about instruction criticality can be used to control the application of micro-architectural resources efficiently. To this end, several groups have proposed methods t...
Eric Tune, Dean M. Tullsen, Brad Calder
ECOOP
2008
Springer
13 years 9 months ago
Ptolemy: A Language with Quantified, Typed Events
Implicit invocation (II) and aspect-oriented (AO) languages provide related but distinct mechanisms for separation of concerns. II languages have explicitly announced events that r...
Hridesh Rajan, Gary T. Leavens