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CVPR
2010
IEEE
14 years 4 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
SEBD
2007
113views Database» more  SEBD 2007»
13 years 10 months ago
Conditional Preferences: A New Semantics for Database Queries
Preference queries aim to retrieve from large databases those objects that better match user’s requirements. Approaches proposed so far in the DB field for specifying preference...
Paolo Ciaccia
MP
1998
113views more  MP 1998»
13 years 8 months ago
Generalized semi-infinite optimization: A first order optimality condition and examples
We consider a generalized semi-infinite optimization problem (GSIP) of the form (GSIP) min{f(x) Ix E M}, where M = {x E N"lhi(x ) = 0, i = 1,...,m, G(x,y) /> 0, y E Y(x)} ...
Hubertus Th. Jongen, Jan-J. Rückmann, Oliver ...
JCIT
2010
172views more  JCIT 2010»
13 years 3 months ago
Conditional Sensor Deployment Using Evolutionary Algorithms
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
M. Sami Soliman, Guanzheng Tan
SIAMNUM
2010
120views more  SIAMNUM 2010»
13 years 3 months ago
Well Conditioned Spherical Designs for Integration and Interpolation on the Two-Sphere
A set XN of N points on the unit sphere is a spherical t-design if the average value of any polynomial of degree at most t over XN is equal to the average value of the polynomial o...
Congpei An, Xiaojun Chen, Ian H. Sloan, Robert S. ...