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JMIV
2000
141views more  JMIV 2000»
13 years 9 months ago
Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
Auto-calibration is the recovery of the full camera geometry and Euclidean scene structure from several images of an unknown 3D scene, using rigidity constraints and partial knowl...
Fredrik Kahl, Bill Triggs, Kalle Åström
JSYML
2000
103views more  JSYML 2000»
13 years 9 months ago
A Model Complete Theory of Valued D-Fields
The notion of a D-ring, generalizing that of a differential or a difference ring, is introduced. Quantifier elimination and a version of the AxKochen-Ershov principle is proven for...
Thomas Scanlon
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 9 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
MST
2000
86views more  MST 2000»
13 years 9 months ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
GIS
2002
ACM
13 years 9 months ago
Remote access to large spatial databases
Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of ...
Egemen Tanin, Frantisek Brabec, Hanan Samet
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