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ICDAR
2009
IEEE
15 years 10 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ESE
2002
112views Database» more  ESE 2002»
15 years 3 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews
ICCV
2009
IEEE
16 years 8 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
CBSE
2009
Springer
15 years 10 months ago
Selecting Fault Tolerant Styles for Third-Party Components with Model Checking Support
To build highly available or reliable applications out of unreliable third-party components, some software-implemented fault-tolerant mechanisms are introduced to gracefully deal w...
Junguo Li, Xiangping Chen, Gang Huang, Hong Mei, F...
IJCNN
2006
IEEE
15 years 9 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...