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» Calibrating Parameters of Cost Functionals
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NIPS
2007
13 years 9 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
IWANN
2001
Springer
14 years 20 days ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
IOR
2008
113views more  IOR 2008»
13 years 8 months ago
Service Competition with General Queueing Facilities
In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with the price they charge for their service. A fi...
Gad Allon, Awi Federgruen
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
ICIP
2006
IEEE
14 years 10 months ago
Robust Bundle Adjustment for Structure from Motion
Structure from motion (SFM) is the problem of reconstructing the geometry of a scene from a stream of images. In this problem, the geometry of the scene must be inferred from imag...
Ji Zhang, Mireille Boutin, Daniel G. Aliaga