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» Monads for incremental computing
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CVPR
2008
IEEE
15 years 1 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell
SAC
2006
ACM
14 years 5 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
ISBI
2004
IEEE
14 years 11 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
IPPS
2009
IEEE
14 years 5 months ago
Compiler-enhanced incremental checkpointing for OpenMP applications
As modern supercomputing systems reach the peta-flop performance range, they grow in both size and complexity. This makes them increasingly vulnerable to failures from a variety ...
Greg Bronevetsky, Daniel Marques, Keshav Pingali, ...
DCOSS
2006
Springer
14 years 2 months ago
Locating Compromised Sensor Nodes Through Incremental Hashing Authentication
Abstract. While sensor networks have recently emerged as a promising computing model, they are vulnerable to various node compromising attacks. In this paper, we propose COOL, a CO...
Youtao Zhang, Jun Yang 0002, Lingling Jin, Weijia ...