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» Hierarchical Mixture Models for Nested Data Structures
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SADM
2010
196views more  SADM 2010»
13 years 3 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
ISMIS
1997
Springer
14 years 18 days ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
CGF
2007
165views more  CGF 2007»
13 years 8 months ago
Ray-Casted BlockMaps for Large Urban Models Visualization
We introduce a GPU-friendly technique that efficiently exploits the highly structured nature of urban environments to ensure rendering quality and interactive performance of city...
Paolo Cignoni, Marco Di Benedetto, Fabio Ganovelli...
ESA
1998
Springer
162views Algorithms» more  ESA 1998»
14 years 1 days ago
External Memory Algorithms
Abstract. Data sets in large applications are often too massive to t completely inside the computer's internal memory. The resulting input output communication or I O between ...
Jeffrey Scott Vitter
GRAPHITE
2007
ACM
14 years 9 days ago
Visibility map for global illumination in point clouds
Point-sampled geometry has gained significant interest due to their simplicity. The lack of connectivity touted as a plus, however, creates difficulties in many operations like ge...
Rhushabh Goradia, Anil Kanakanti, Sharat Chandran,...