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NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 8 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ICCD
2006
IEEE
185views Hardware» more  ICCD 2006»
14 years 5 months ago
An accurate Energy estimation framework for VLIW Processor Cores
— In this paper, we present a comprehensive energy estimation framework for software executing on Very Long Instruction Word (VLIW) processor cores. The proposed energy model is ...
Sourav Roy, Rajat Bhatia, Ashish Mathur
ACL
1994
13 years 10 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
IJCV
2006
171views more  IJCV 2006»
13 years 8 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff
CORR
2007
Springer
130views Education» more  CORR 2007»
13 years 8 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...