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» Efficient Aggregate Computation over Data Streams
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CVPR
2008
IEEE
16 years 5 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
110
Voted
DCC
2004
IEEE
16 years 2 months ago
Discrete Universal Filtering Through Incremental Parsing
In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
DAC
2010
ACM
15 years 3 months ago
Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains a challenging task. Existing preconditioned iterative methods that require inco...
Zhuo Feng, Zhiyu Zeng
IHI
2010
197views Healthcare» more  IHI 2010»
14 years 10 months ago
Beyond safe harbor: automatic discovery of health information de-identification policy alternatives
Regulations in various countries permit the reuse of health information without patient authorization provided the data is "de-identified". In the United States, for ins...
Kathleen Benitez, Grigorios Loukides, Bradley Mali...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 4 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...