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A study on feature analysis for musical instrument classification
In tackling data mining and pattern recognition tasks, finding a compact but effective set of features has often been found to be a crucial step in the overall problem-solving process. In this paper we present an empirical ...
Evolving connectionist systems: Characterisation, simplification, formalisation, explanation and optimisation
There are several well-known problems with conventional artificial neural networks (ANN), such as difficulties with selecting the structure of the network, and problems with forgetting previously-learned knowledge after ...
Feature analysis and classification of classical musical instruments: an empirical study
We present an empirical study on classical music instrument classification. A methodology with feature extraction and evaluation is proposed and assessed with a number of experiments, whose final stage is to detect instruments ...
Image saliency mapping and ranking using an extensible visual attention model based on MPEG-7 feature descriptors
In visual perception, finding regions of interest in a scene is very important in the carrying out visual tasks. Recently there have been a number of works proposing saliency detectors and visual attention models. In this ...
Connectionist-based intelligent information systems for image analysis and knowledge engineering: applications in horticulture
New Zealand’s main export earnings come from the primary production area including agriculture, horticulture, and viticulture. One of the major contributors in this area of horticulture is the production of quality export ...
Combining multiple precision-boosted classifiers for indoor-outdoor scene classification
Along with the progress of the content-based image retrieval research and the development of the MPEG-7 XM feature descriptors, there has been an increasing research interest on object recognition and semantics extraction ...
The use of fuzzy tools for small scale decision support systems
This paper discusses the use of fuzzy tools in the realm of Decision Support Systems. I have investigated the possible use of a number of different paradigms against a novel problem - that of correctly classifying the ...
Fuzzy neural networks (FuNN) in the Palm environment
This document is prepared with two purposes in mind. The first is to introduce the roof maintenance problem and the proposed solutions. The second is to describe its implementation for the Palm platform.
The first section ...
Automatic sapstain detection in processed timber through image feature analysis
Sapstain is considered a defect that must be removed from processed wood. So far, research in automatic wood inspection systems has been mostly limited to dealing with knots. In this paper, we extract a number of colour ...
Modelling semantic context for novelty detection in wildlife scenes
Novelty detection is an important functionality that has found many applications in information retrieval and processing. In this paper we propose a novel framework that deals with novelty detection for multiple-scene image ...