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» Approximation Techniques for Spatial Data
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BILDMED
2008
151views Algorithms» more  BILDMED 2008»
15 years 7 months ago
Creating a Vision Channel for Observing Deep-Seated Anatomy in Medical Augmented Reality
The intent of medical Augmented Reality (AR) is to augment the surgeon's real view on the patient with the patient's interior anatomy resulting from a suitable visualizat...
Felix Wimmer, Christoph Bichlmeier, Sandro Michael...
IGARSS
2010
15 years 3 months ago
Recent developments in sparse hyperspectral unmixing
This paper explores the applicability of new sparse algorithms to perform spectral unmixing of hyperspectral images using available spectral libraries instead of resorting to well...
Marian-Daniel Iordache, Antonio J. Plaza, Jos&eacu...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 8 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
16 years 6 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
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
16 years 7 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas