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BMCBI
2007
149views more  BMCBI 2007»
14 years 10 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
ECCV
2004
Springer
15 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICIP
2008
IEEE
15 years 11 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
ECBS
2007
IEEE
149views Hardware» more  ECBS 2007»
15 years 4 months ago
Component-Based System Integration via (Meta)Model Composition
This paper provides three contributions to the study of functional integration of distributed enterprise systems. First, we describe the challenges associated with functionally in...
Krishnakumar Balasubramanian, Douglas C. Schmidt, ...
IJCNN
2007
IEEE
15 years 4 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio