Murray Browne

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In this paper we discuss the development and use of low-rank approximate nonnegative matrix factorization (NMF) algorithms for feature extraction and identification in the fields of text mining and spectral data analysis. The evolution and convergence properties of hybrid methods based on both sparsity and smoothness constraints for the resulting(More)
When there are many people who don't need to expect something more than the benefits to take, we will suggest you to have willing to reach all benefits. Be sure and surely do to take this understanding search engines mathematical modeling and text retrieval software environments tools second edition that gives the best reasons to read. When you really need(More)
OBJECTIVES The aim of this paper is to introduce and test a general, wavelet-based method for the automatic removal of noise and artefact from psychophysiological data. METHODS Statistical wavelet thresholding (SWT) performs blind source separation by transforming data to the wavelet domain, and subsequent filtering of wavelet coefficients based on a(More)
In this study, we apply a non-negative matrix factorization approach for the extraction and detection of concepts or topics from electronic mail messages. For the publicly released Enron electronic mail collection, we encode sparse term-by-message matrices and use a low rank non-negative matrix factorization algorithm to preserve natural data non-negativity(More)
Traditionally, cache coherence in multiprocessors has been maintained in hardware. However, the cost-effectiveness of hardwired protocols is questionable. Virtual Shared Memory systems have highlighted the many advantages of software-implemented protocols, albeit at a performance price. The performance gap is narrowed by hybrid systems with the addition of(More)
Hybrid Distributed Shared Memory (DSM) systems are shared-memory multiprocessor architectures with software-implemented coherence protocols and hardware support for fine-grain sharing. In this paper we compare the designs of three possible hybrid architectures inspired from three hardware DSMs: CC-NUMA, COMA and Simple COMA. The corresponding hybrids are(More)
This paper presents an initial investigation into the detection and quantification of persons in real-world beach scenes for the automated monitoring of tourist sites. Aside from the obvious use of video and digital imagery for surveillance applications, this research focuses on the analysis of images for the purpose of predicting trends of tourist(More)
A challenging task in psychophysiology is the extraction of event-related potentials (ERPs) from the background electro-encephalogram. The task is made more difficult by the properties of ERPs, which typically consist of multiple features of variable latency, localised in time and frequency. A novel technique is described for analysis of ERPs, adaptive(More)
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