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» Optimizing Data Transformations for Classification Tasks
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IJCNN
2006
IEEE
14 years 1 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
SCFBM
2008
151views more  SCFBM 2008»
13 years 6 months ago
Wndchrm - an open source utility for biological image analysis
Background: Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated experimentin...
Lior Shamir, Nikita Orlov, D. Mark Eckley, Tomasz ...
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
13 years 1 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
EDBT
2009
ACM
186views Database» more  EDBT 2009»
14 years 2 months ago
Automating the loading of business process data warehouses
Business processes drive the operations of an enterprise. In the past, the focus was primarily on business process design, modeling, and automation. Recently, enterprises have rea...
Malú Castellanos, Alkis Simitsis, Kevin Wil...
ICPR
2004
IEEE
14 years 8 months ago
Bayesian Face Recognition Based on Gaussian Mixture Models
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
Xiaogang Wang, Xiaoou Tang