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» Ontological Framework for Approximation
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ML
2008
ACM
15 years 4 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
PAA
2008
15 years 4 months ago
Robust automated multiple view inspection
Recently, Automated Multiple View Inspection (AMVI) has been developed for automated defect detection of manufactured objects, and the framework was successfully implemented for ca...
Luis Pizarro, Domingo Mery, Rafael Delpiano, Migue...
JPDC
2007
138views more  JPDC 2007»
15 years 4 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
TWC
2008
129views more  TWC 2008»
15 years 4 months ago
Spatial Multiplexing Architectures with Jointly Designed Rate-Tailoring and Ordered BLAST Decoding - Part II: A Practical Method
The study of the class of new spatial multiplexing architectures (SMAs) is continued. As introduced in Part I of this paper, the SMAs consist of joint design of rate and power all...
Yi Jiang, Mahesh K. Varanasi
CGF
1998
134views more  CGF 1998»
15 years 4 months ago
Progressive Iso-Surface Extraction from Hierarchical 3D Meshes
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
Wenli Cai, Georgios Sakas, Roberto Grosso, Thomas ...