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» Maximally joining probabilistic data
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CIMCA
2005
IEEE
15 years 3 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
CIDR
2003
109views Algorithms» more  CIDR 2003»
14 years 11 months ago
SkyQuery: A Web Service Approach to Federate Databases
Traditional science searched for new objects and phenomena that led to discoveries. Tomorrow's science will combine together the large pool of information in scientific archi...
Tanu Malik, Alexander S. Szalay, Tamas Budavari, A...
SIGMOD
2005
ACM
77views Database» more  SIGMOD 2005»
15 years 9 months ago
On Joining and Caching Stochastic Streams
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...
Jun Yang 0001, Junyi Xie, Yuguo Chen
74
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SIGGRAPH
2000
ACM
15 years 2 months ago
Patching Catmull-Clark meshes
Named after the title, the PCCM transformation is a simple, explicit algorithm that creates large, smoothly joining bicubic Nurbs patches from a refined Catmull-Clark subdivision...
Jörg Peters
ISI
2008
Springer
14 years 9 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh