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CVPR
2010
IEEE
15 years 12 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICIP
2005
IEEE
15 years 10 months ago
Towards arbitrary camera movements for image cube trajectory analysis
Image Cube Trajectory (ICT) Analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. For a moving camera each 3D point is represented b...
Ingo Feldmann, Peter Eisert, Peter Kauff
LAWEB
2005
IEEE
15 years 10 months ago
Incentive Networks
The concurrent growth of on-line communities exhibiting large-scale social structure, and of large decentralized peer-to-peer file-sharing systems, has stimulated new interest in...
Prabhakar Raghavan
ASIAN
2005
Springer
96views Algorithms» more  ASIAN 2005»
15 years 9 months ago
Query Incentive Networks
The concurrent growth of on-line communities exhibiting large-scale social structure, and of large decentralized peer-to-peer file-sharing systems, has stimulated new interest in...
Prabhakar Raghavan
AIIA
2003
Springer
15 years 9 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...