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ICPR
2004
IEEE
16 years 7 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
BMCBI
2007
99views more  BMCBI 2007»
15 years 6 months ago
The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data
Background: The combination of mass spectrometry and solution phase amide hydrogen/deuterium exchange (H/D exchange) experiments is an effective method for characterizing protein ...
B. D. Pascal, M. J. Chalmers, S. A. Busby, C. C. M...
JMLR
2010
155views more  JMLR 2010»
15 years 24 days ago
Structured Sparse Principal Component Analysis
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
BMCBI
2006
100views more  BMCBI 2006»
15 years 6 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
IJUFKS
2006
64views more  IJUFKS 2006»
15 years 6 months ago
Cautious Analysis of Project Risks by Interval-Valued Initial Data
One of the most common performance measures in selection and management of projects is the Net Present Value (NPV). In the paper, we study a case when initial data about the NPV p...
Lev V. Utkin