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NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 10 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
MICCAI
2010
Springer
13 years 8 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
SCP
2010
96views more  SCP 2010»
13 years 8 months ago
Enforcing structural regularities in software using IntensiVE
The design and implementation of a software system is often governed by a variety of coding conventions, design patterns, architectural guidelines, design rules, and other so-call...
Johan Brichau, Andy Kellens, Sergio Castro, Theo D...
SSPR
2010
Springer
13 years 8 months ago
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
Sang-Woon Kim, Robert P. W. Duin
SPIRE
2010
Springer
13 years 7 months ago
Identifying SNPs without a Reference Genome by Comparing Raw Reads
Next generation sequencing (NGS) technologies are being applied to many fields of biology, notably to survey the polymorphism across individuals of a species. However, while single...
Pierre Peterlongo, Nicolas Schnel, Nadia Pisanti, ...