Papers by Michael Antolovich
OMS, Organic mass spectrometry, Oct 1, 1992
Mass spectra of six representative underivatized steroids and three parent hydrocarbons were obta... more Mass spectra of six representative underivatized steroids and three parent hydrocarbons were obtained using laser desorption/Fourier transform (LD/FT) mass spectrometry. The carbonyl steroids, with the exception of aldosterone, yieMed abundant fM + HI+ ions. For choIestero1, a major fragment ion was that corresponding to dehydration. The hydrocarbons produced [M + HI+, M+ and [Mions, in addition to expected alkyl cleavage ions including those resulting from methyl loss. The LD/FT mass spectra of all were qualitatively similar to etectron ionization spectra, but showed somewhat less f r a~m~t a~~.
Our focus in this paper is a simple Bayesian classification on generalised Scheiddegger-Watson di... more Our focus in this paper is a simple Bayesian classification on generalised Scheiddegger-Watson distribution using standard Maximum Likelihood Estimation (MLE). The main barrier in working with Scheiddegger-Watson or matrix variate distributions via standard MLE is the normalising constant that always appears with them. We apply Taylor expansion for approximating the corresponding matrix-based normalising constant and then implement our proposed approach for classification on Grassmann manifold. We then evaluate the effectiveness of our proposed method on real world data against the state of the art recent techniques and show that the proposed approach outperforms or good comparable with them.
Journal of The Chemical Society-dalton Transactions, 1993
HAL (Le Centre pour la Communication Scientifique Directe), 2006
ChemInform, Aug 23, 2010
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was e... more ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Journal of Agricultural and Food Chemistry, Feb 12, 2002
ABSTRACT The thiobarbituric acid reactive substances (TBARS) assay is a commonly used method for ... more ABSTRACT The thiobarbituric acid reactive substances (TBARS) assay is a commonly used method for the detection of lipid peroxidation. Malondialdehyde is formed as a result of lipid peroxidation and reacts with thiobarbituric acid to form a pink pigment that has an absorption maximum at 532 nm. Other compounds also react with thiobarbituric acid to form colored species that can interfere with this assay, but little is known about these interfering species. This is the first investigation using LC-MS and MS-MS to study the structures of the pink adduct as well as a common unstable yellow interference compound, which absorbs at 455 nm. Also, the presence of barbituric acid impurities in the thiobarbituric acid reagent was found to produce 1:1:1 thiobarbituric acid/malondialdehyde/barbituric acid and 2:1 barbituric acid/malondialdehyde adducts that absorbed at 513 and 490 nm, respectively, indicating that thiobarbituric acid should be purified before use.
We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability of... more We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability of Grassmann Angular Central Gaussian (GACG) distribution by using Grassmann manifold. Our main concern is then on the applicability of GACG for computer vision application e.g., classification on arbitrarily high dimensional Grassmannian space. We show by numerical experiments that the implementation of the proposed Grassmannian variate parametric model via MLE using simple Bayesian classifier is directly related to the accurate calculation of normalising constant naturally appearing with them. We verify the validity and performance of our proposed approach on two publicly available databases against the existing state of art techniques, where we observed that the classification accuracy of our proposed approach outperforms significantly.
Our focus in this work is on the practical applicability of matrix variate Fisher-Bingham model f... more Our focus in this work is on the practical applicability of matrix variate Fisher-Bingham model for statistical inferences via Maximum Likelihood Estimation (MLE) technique using simple Bayesian classifier. The practicability of such parametric models on high dimensional data (e.g., via manifold valued data) remained a big hurdle since long i.e., mainly due to the difficult normalising constant naturally appear with them. We applied the method of Saddle Point Approximation (SPA) for calculating the corresponding normalising constant and then tested the validity and performance of the proposed algorithm on two datasets against the state of the art existing techniques and observed that the proposed technique is more suitable for recognition on Grassmann manifolds via a simple Bayesian classifier.
ChemInform, May 9, 1989
The title ligand (III) forms with NiCl2 in hot abs.
ChemInform, Nov 21, 1989
ChemInform Abstract Condensation of the dioxotetraphenylchlorin (I) with the norbornyl-o-phenylen... more ChemInform Abstract Condensation of the dioxotetraphenylchlorin (I) with the norbornyl-o-phenylenediamines (II) affords the title compounds (III), in which a porphyrin unit is linked to a norbornyl ring through a quinoxaline group. Bichromophoric norbornylogues are of interest as analogues of biological electron transfer systems.
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019
Visual features are generally used in video summarization including sports videos. However, audio... more Visual features are generally used in video summarization including sports videos. However, audio features are also important in summarization as they characterize the exciting events of a sport, especially when external thing e.g. raining effects the visual feature. The commentator's voice, referee's whistle, and audience-voice are strongly correlated to the exciting events e.g. goal, penalty shootout, red card, etc. in a soccer game. The existing methods using original audio signals could not provide expected summary due to the various noises from the audience such as horn and sound from various musical instruments. In this paper, we propose a novel approach to extract audio features using Empirical Mode Decomposition (EMD) that can filter out noises. We have conducted a set of experiments on four real soccer videos. The experimental results demonstrate that the proposed method can detect goal events with 96% accuracy which outperforms the existing state-of-the-art method by 42%.
Analytica Chimica Acta, 2012
An approach was developed for extracting and analyzing the chemical components of tobacco leaves ... more An approach was developed for extracting and analyzing the chemical components of tobacco leaves based on solvent extraction and rapid & resolution liquid chromatography/ quadrupole time-of-flight mass spectrometry analysis. Two solvents with different polarities were used to extract hydrophilic components and hydrophobic components, respectively, the combined analytical data can provide a ''global'' view of metabolites. Based on the evaluation of parallel samples, it was found that this approach provided good repeatability, accurate and reliable profiling data, and is suitable for the metabolomics study of tobacco leaves. In order to find the chemical component differences of tobacco leaves, 56 samples from Zimbabwe and China were analyzed using the developed method. The metabolite data were processed by multivariate statistic technique; an obvious group classification between Zimbabwe and China was observed, 14 significantly changed compounds were found, and 9 of them were identified.
Analytica Chimica Acta, 1985
Mass spectra of six representative underivatized steroids and three parent hydrocarbons were obta... more Mass spectra of six representative underivatized steroids and three parent hydrocarbons were obtained using laser desorption/Fourier transform (LD/FT) mass spectrometry. The carbonyl steroids, with the exception of aldosterone, yieMed abundant fM + HI+ ions. For choIestero1, a major fragment ion was that corresponding to dehydration. The hydrocarbons produced [M + HI+, M+ and [Mions, in addition to expected alkyl cleavage ions including those resulting from methyl loss. The LD/FT mass spectra of all were qualitatively similar to etectron ionization spectra, but showed somewhat less f r a~m~t a~~.
Journal of Chromatography A, Sep 1, 1999
The results demonstrate the potential of electrospray ionisation mass spectrometry for the specif... more The results demonstrate the potential of electrospray ionisation mass spectrometry for the specific detection of phenolic species in olives. Phenolic compounds were detected with greater sensitivity in the negative ion mode, but results from positive and negative ion modes were complementary with the positive ion mode showing structurally significant fragments. This is demonstrated by the identification of oleuropein and isomers of verbascoside. The structure of the latter were confirmed by retention, mass spectral and nuclear magnetic resonance data. These isomers have not previously been reported in olive.
Journal of Medical and Bioengineering, 2015
Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malf... more Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed "seizure", affecting over 50 million individuals worldwide. The Electroencephalogram (EEG) is the most influential technique in detection of epileptic seizures. In recent years, many research works have been devoted to the detection of epileptic seizures based on analysis of EEG signals. Despite remarkable work on seizure detection, there is no generic seizure detection scheme which performs reasonably well for different patients and different brain locations. In this paper we present a generic approach for feature extraction of preictal (pre-stage of seizure onset) and interictal (period between seizures) EEG signals using empirical mode decomposition (EMD) along with discrete cosine transformation (DCT) by exploit temporal correlation for detection of preictal phase of epileptic seizure. Then least square support vector machine is applied on the features for classifications. Results demonstrate that our proposed method outperforms the state-of-the-art methods in terms of sensitivity, specificity and accuracy to classify preictal and interictal EEG signals to the benchmark dataset extracted from different brain locations of different patients.
Australasian Conference On Interactive Entertainment, Nov 23, 2005
This paper discusses RAGE-a Java based open source game engine project. The RAGE project aims to ... more This paper discusses RAGE-a Java based open source game engine project. The RAGE project aims to abstract the various aspects of game engine functionality into a set a generic interfaces. Platform or API specific implementations of these interfaces then allow applications written for the RAGE engine to run without modification or recompilation on any of the target hardware/operating system configurations.
2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016
In this paper we focus on Maximum Likelihood Estimation (MLE) technique for classification on Gra... more In this paper we focus on Maximum Likelihood Estimation (MLE) technique for classification on Grassmann manifolds using matrix variate Bingham density function. Unlike the conventional techniques for multivariate distributions in the existing literature e.g., Markov chain Monte Carlo (MCMC) sampling methods, non-parametric methods, Expectation Maximisation (EM) iterative methods or exact methods, we demonstrate a new way of parametric modelling for classification that is strictly based on normalising constant. The evaluation of normalising constant is based on the matrix-variate Saddle Point Approximation (SPA). The Maximum Likelihood Estimation (MLE) is directly employed on the proposed manifold based Bingham density function via simple Bayesian classifier. For numerical experiments a 3-class classification example is considered by using real world Caltech 101 and DynTex++ database. We have compared our average classification accuracy rate with the baseline results taken from the existing state of the art techniques, and found that our method outperforms or at least best comparable.
Image and Video Technology, 2020
The main challenge in a rain removal algorithm is to differentiate rain streak from moving object... more The main challenge in a rain removal algorithm is to differentiate rain streak from moving objects. This paper addresses this problem using the spatiotemporal appearance technique (STA). Although the STA-based technique can significantly remove rain from video, in some cases it cannot properly retain all the moving object regions. The photometric feature of rain streak was used to solve this issue. In this paper, a new algorithm combining STA and the photometric correlation between rain streak and background is proposed. Rain streak and moving objects were successfully detected and separated by combining both techniques, then fused to obtain well-recovered moving objects with rain-free video. The experimental results reveal that the proposed algorithm significantly outperforms the state-of-the-art methods for both real and synthetic rain streak.
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Papers by Michael Antolovich