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» On the correlation of binary sequences
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IDA
1998
Springer
15 years 8 days ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
113
Voted
WAPCV
2007
Springer
15 years 6 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
80
Voted
BMCBI
2007
103views more  BMCBI 2007»
15 years 21 days ago
eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Background: Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expression variations. To map eQTL, thousands of expres...
Wei Zou, David L. Aylor, Zhao-Bang Zeng
128
Voted
BMCBI
2006
172views more  BMCBI 2006»
15 years 19 days ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
101
Voted
ICPR
2000
IEEE
16 years 1 months ago
Comparison of Tracking Techniques Applied to Digital PIV
Digital Particle Image Velocimetry (DPIV) aims at flow visualisation and measurement of flow dynamics in numerous applications, including hydrodynamics, combustion processes and a...
Dmitry Chetverikov, Judit Verestóy, Marcell...