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Home > Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings > Dimensionality Reduction with Image Data
Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings |
Zheng Rong Yang; Hujun Yin; Richard M. Everson
Springer Berlin Heidelberg
Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings
Dimensionality Reduction with Image Data
Authors

Mónica Benito; Daniel Peña

ARI Id

1674219631557_1463054

Access

Not Available Free

Pages

326-332

DOI

10.1007/978-3-540-28651-6_48

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-28651-6_48

Table of Contents of Book
Showing 1 to 20 of 127 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric
Carla S. Möller-Levet; Hujun Yin
1-10
A Novel Hybrid GA/SVM System for Protein Sequences Classification
Xing-Ming Zhao; De-Shuang Huang; Yiu-ming Cheung; Hong-qiang Wang; Xin Huang
11-16
Building Genetic Networks for Gene Expression Patterns
Wai-Ki Ching; Eric S. Fung; Michael K. Ng
17-24
SVM-Based Classification of Distant Proteins Using Hierarchical Motifs
Jérôme Mikolajczack; Gérard Ramstein; Yannick Jacques
25-30
Knowledge Discovery in Lymphoma Cancer from Gene–Expression
Jesús S. Aguilar-Ruiz; Francisco Azuaje
31-38
A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces
Nripendra Lal Shrestha; Youhei Kawaguchi; Tadasuke Nakagawa; Takenao Ohkawa
39-45
Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines
Zhiyuan Luo; Tony Bellotti; Alex Gammerman
46-51
An Assessment of Feature Relevance in Predicting Protein Function from Sequence
Ali Al-Shahib; Chao He; Aik Choon Tan; Mark Girolami; David Gilbert
52-57
A New Artificial Immune System Algorithm for Clustering
Reda Younsi; Wenjia Wang
58-64
The Categorisation of Similar Non-rigid Biological Objects by Clustering Local Appearance Patches
Hongbin Wang; Phil F. Culverhouse
65-70
Unsupervised Dense Regions Discovery in DNA Microarray Data
Andy M. Yip; Edmond H. Wu; Michael K. Ng; Tony F. Chan
71-77
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Swapna Sarvesvaran; Hujun Yin
78-84
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Jae-Hong Eom; Jeong-Ho Chang; Byoung-Tak Zhang
85-91
Exploring Dependencies Between Yeast Stress Genes and Their Regulators
Janne Nikkilä; Christophe Roos; Samuel Kaski
92-98
Poly-transformation
Ross D. King; Mohammed Ouali
99-107
Prediction of Natively Disordered Regions in Proteins Using a Bio-basis Function Neural Network
Rebecca Thomson; Robert Esnouf
108-116
The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System
Ian Berry; Julie Wilson; Chris Mayo; Jon Diprose; Robert Esnouf
117-124
PromSearch: A Hybrid Approach to Human Core-Promoter Prediction
Byoung-Hee Kim; Seong-Bae Park; Byoung-Tak Zhang
125-131
Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification
Yuan-chin Ivar Chang; Sung-Chiang Lin
132-141
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 127 entries
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