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KDD
2002
ACM
184views Data Mining» more  KDD 2002»
16 years 2 days ago
Associative Classifiers for Medical Images
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining th...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
TITB
2008
136views more  TITB 2008»
14 years 11 months ago
Helicobacter Pylori-Related Gastric Histology Classification Using Support-Vector-Machine-Based Feature Selection
Abstract--This study presents a computer-aided diagnosis system using sequential forward floating selection (SFFS) with support vector machine (SVM) to diagnose gastric histology o...
Chun-Rong Huang, Pau-Choo Chung, Bor-Shyang Sheu, ...
91
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BMCBI
2006
118views more  BMCBI 2006»
14 years 11 months ago
A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images
Background: Knowledge of the subcellular location of a protein is critical to understanding how that protein works in a cell. This location is frequently determined by the interpr...
Shann-Ching Chen, Robert F. Murphy
MM
2010
ACM
265views Multimedia» more  MM 2010»
14 years 12 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
89
Voted
ICIAP
2003
ACM
15 years 4 months ago
Classification with reject option in text categorisation systems
The aim of this paper is to evaluate the potential usefulness of the reject option for text categorisation (TC) tasks. The reject option is a technique used in statistical pattern...
Giorgio Fumera, Ignazio Pillai, Fabio Roli