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ARTMED
2007
347views more  ARTMED 2007»
13 years 9 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 9 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
ICCV
2011
IEEE
12 years 9 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 2 months ago
PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a G...
Nawwaf N. Kharma, Ching Y. Suen, Pei F. Guo
IIS
2003
13 years 10 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho