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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 9 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ISBI
2006
IEEE
16 years 4 months ago
Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery
This paper describes the development and application of methods to integrate research image analysis methods and software with a commercial image guided surgery navigation system ...
Xenophon Papademetris, Kenneth P. Vives, Marcello ...
DAS
2008
Springer
15 years 5 months ago
Writer-Dependent Recognition of Handwritten Whiteboard Notes in Smart Meeting Room Environments
In this paper we present a writer-dependent handwriting recognition system based on hidden Markov models (HMMs). This system, which has been developed in the context of research o...
Marcus Liwicki, Andreas Schlapbach, Horst Bunke
TCBB
2008
137views more  TCBB 2008»
15 years 3 months ago
Toward Verified Biological Models
The last several decades have witnessed a vast accumulation of biological data and data analysis. Many of these data sets represent only a small fraction of the system's behav...
Avital Sadot, Jasmin Fisher, Dan Barak, Yishai Adm...
BMCBI
2010
165views more  BMCBI 2010»
15 years 4 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...