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» Learning Visual Invariance
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ICASSP
2010
IEEE
13 years 8 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 8 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 8 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
TOH
2008
118views more  TOH 2008»
13 years 8 months ago
Using Haptics to Convey Cause-and-Effect Relations in Climate Visualization
We investigate the potential role of haptics in augmenting the visualization of climate data. In existing approaches to climate visualization, different dimensions of climate data...
Nesra Yannier, Cagatay Basdogan, Serdar Tasiran, O...
IEEEVAST
2010
13 years 2 months ago
Comparing different levels of interaction constraints for deriving visual problem isomorphs
Interaction and manual manipulation have been shown in the cognitive science literature to play a critical role in problem solving. Given different types of interactions or constr...
Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, D...