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» Geometric constraint satisfaction using optimization methods
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CVPR
2008
IEEE
16 years 3 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
WSC
2007
15 years 3 months ago
Establishing man-machine ratio using simulation
Effective use of machines and headcounts is essential in manufacturing for high return of investment from expensive resources in today’s competitive business environment. It is ...
Hoay Hoon Ong
AAAI
2012
13 years 3 months ago
Optimizing Payments in Dominant-Strategy Mechanisms for Multi-Parameter Domains
In AI research, mechanism design is typically used to allocate tasks and resources to agents holding private information about their values for possible allocations. In this conte...
Lachlan Thomas Dufton, Victor Naroditskiy, Maria P...
ICIP
2008
IEEE
16 years 3 months ago
Sparse orthonormal transforms for image compression
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
TASLP
2010
78views more  TASLP 2010»
14 years 8 months ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney