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ICCS
2005
Springer
15 years 11 months ago
A Data-Adaptive Approach to cDNA Microarray Image Enhancement
Abstract. A data-adaptive approach for cDNA microarray image enhancement is presented. Through the weighting coefficients adaptively determined from local microarray image statisti...
Rastislav Lukac, Konstantinos N. Plataniotis, Bogd...
GD
2004
Springer
15 years 11 months ago
Drawing the AS Graph in 2.5 Dimensions
We propose a method for drawing AS graph data using 2.5D graph visualization. In order to bring out the pure graph structure of the AS graph we consider its core hierarchy. The k-c...
Michael Baur, Ulrik Brandes, Marco Gaertler, Dorot...
ICPR
2000
IEEE
15 years 10 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
ICASSP
2009
IEEE
15 years 10 months ago
Missing data recovery via a nonparametric iterative adaptive approach
We introduce a missing data recovery methodology based on a weighted least squares iterative adaptive approach (IAA). The proposed method is referred to as the missing-data IAA (M...
Petre Stoica, Jian Li, Jun Ling, Yubo Cheng
NIPS
2004
15 years 7 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...