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TSP
2010
14 years 11 months ago
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...
Jun Fang, Hongbin Li
WCE
2007
15 years 5 months ago
On Line Surface Roughness Measurement Using Image Processing and Machine Vision
- Machine vision has evolved to become a mainstream automation tool, enabling computers to replace human vision in high speed and precision manufacturing techniques. Images usually...
M. Rajaram Narayanan, S. Gowri, M. Murali Krishna
ACCV
2006
Springer
15 years 10 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung
BMCBI
2008
131views more  BMCBI 2008»
15 years 4 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
ICPR
2008
IEEE
15 years 10 months ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau