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RT
1995
Springer
15 years 4 months ago
Spatial Domain Characterization and Control of Reconstruction Errors
Reconstruction is imperative whenever an image or a volume needs to be resampled as a result of an affine or perspective transformation, texture mapping, or volume rendering. We p...
Raghu Machiraju, J. Edward Swan II, Roni Yagel
TKDE
2008
128views more  TKDE 2008»
15 years 12 days ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 28 days ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
97
Voted
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 28 days ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
106
Voted
HCI
2007
15 years 1 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...