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» A learning model for oscillatory networks
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TIP
2010
145views more  TIP 2010»
15 years 1 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
IJBRA
2006
59views more  IJBRA 2006»
15 years 6 months ago
Predicting altered pathways using extendable scaffolds
: Many diseases, especially solid tumors, involve the disruption or deregulation of cellular processes. Most current work using gene expression and other high-throughput data, simp...
B. M. Broom, T. J. McDonnell, D. Subramanian
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
16 years 1 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
ICANN
2005
Springer
16 years 12 days ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
IJPRAI
2002
93views more  IJPRAI 2002»
15 years 6 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov