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ECCV
2004
Springer
16 years 9 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
BMCBI
2008
96views more  BMCBI 2008»
15 years 7 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
BMCBI
2011
14 years 10 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
DFT
2005
IEEE
200views VLSI» more  DFT 2005»
16 years 20 days ago
Data Dependent Jitter (DDJ) Characterization Methodology
A new jitter model is developed using Matlab and Spice to analyze Data Dependent Jitter (DDJ) in serial data integrated circuits. The simulation results show that DDJ is dependent...
Kyung Ki Kim, Yong-Bin Kim, Fabrizio Lombardi
ML
2006
ACM
15 years 7 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li