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DSN
2007
IEEE
15 years 8 months ago
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
ICIP
2003
IEEE
16 years 4 months ago
A variational method for Bayesian blind image deconvolution
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
Aristidis Likas, Nikolas P. Galatsanos
ICML
2007
IEEE
16 years 3 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
PAMI
2007
197views more  PAMI 2007»
15 years 1 months ago
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
—A near-regular texture (NRT) is a geometric and photometric deformation from its regular origin—a congruent wallpaper pattern formed by 2D translations of a single tile. A dyn...
Wen-Chieh Lin, Yanxi Liu
ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
15 years 6 months ago
Efficient decoupling capacitance budgeting considering operation and process variations
This paper solves the variation-aware on-chip decoupling capacitance (decap) budgeting problem. Unlike previous work assuming the worst-case current load, we develop a novel stocha...
Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He