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» Optimal multi-scale patterns in time series streams
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WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
JGTOOLS
2008
168views more  JGTOOLS 2008»
13 years 7 months ago
Efficient, High-Quality Bayer Demosaic Filtering on GPUs
This paper describes a series of optimizations for implementing the high-quality Malvar-He-Cutler Bayer demosaicing filter on a GPU in OpenGL. Applying this filter is the first st...
Morgan McGuire
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
TNN
2011
129views more  TNN 2011»
13 years 2 months ago
Minimum Complexity Echo State Network
—Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the “reservoir”) and an adaptable readout form the state space...
Ali Rodan, Peter Tino