Prabhash Kumarasinghe

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This paper presents "dMarkers", a concept of "dynamic markers" or markers that can change for marker technologies for Augmented Reality (AR) technologies. Here, by dynamic we mean markers that can change or morph into different markers which could open up various new possibilities through technologies such as AR. To impelment this technology we use a(More)
This paper addresses the problem of on-line learning for object tracking. Although a variety of techniques have been proposed in literature, a recent benchmark reveals that none of them can work well in all scenarios due to numerous practical challenges, such as illumination variations, motion blur, etc. These challenges occur at different time frames(More)
This paper proposes a new algorithm for the multiple instance learning problem (MIL) and investigates its application for detecting Attention Deficit Hyperactive Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging data. The core component of many kernel-based MIL algorithms is usually an SVM-like batch optimization framework, hence(More)
Bronchial brush and wash material were obtained by fibreoptic bronchoscopy in 200 patients suspected of having bronchial carcinoma. Malignancy was diagnosed in 42, giving a diagnostic yield of 21%. Bronchial brush material showed the highest yield. Morphological cell typing was done on cytological material. Technical considerations, diagnostic criteria,(More)
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