Search Results - "Heesch, Daniel"

A survey of browsing models for content based image retrieval by Heesch, Daniel

“…The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query:…”
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Chaotic Root-finding for a Small Class of Polynomials by Little, Max, Heesch †, Daniel

“…In this paper we present a new closed-form solution to a chaotic difference equation, with coefficient and using this solution, show how corresponding exact…”
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Implantation of defined activities of phosphorus 32 with reduced target damage by Heesch, Daniel, Rogalla, Detlef, Lenders, Thomas, Meijer, Jan, Happel, Patrick

“…Materials doped with the unstable isotope phosphorus 32 are promising candidates for use in brachytherapeutic applications. One way to dope a material with P…”
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Intrinsically 32 P‐Labeled Diamond Nanoparticles for In Vivo Imaging and Quantification of Their Biodistribution in Chicken Embryos by Happel, Patrick, Waag, Thilo, Schimke, Magdalena, Schweeberg, Sarah, Muzha, Andreas, Fortak, Katrin, Heesch, Daniel, Klask, Laura, Pilscheur, Mathias, Hoppe, Franziska, Lenders, Thomas, Meijer, Jan, Lepperdinger, Günter, Krueger, Anke

“…Nanoparticles, especially from carbon, have great potential in biomedicine. However, prior to clinical use, biocompatibility and biodistribution of these…”
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Markov Random Fields with Asymmetric Interactions for Modelling Spatial Context in Structured Scene Labelling by Heesch, Daniel, Petrou, Maria

“…In this paper we propose a Markov random field with asymmetric Markov parameters to model the spatial and topological relationships between objects in…”
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Intrinsically 32P‐Labeled Diamond Nanoparticles for In Vivo Imaging and Quantification of Their Biodistribution in Chicken Embryos by Happel, Patrick, Waag, Thilo, Schimke, Magdalena, Schweeberg, Sarah, Muzha, Andreas, Fortak, Katrin, Heesch, Daniel, Klask, Laura, Pilscheur, Mathias, Hoppe, Franziska, Lenders, Thomas, Meijer, Jan, Lepperdinger, Günter, Krueger, Anke

“…Nanoparticles, especially from carbon, have great potential in biomedicine. However, prior to clinical use, biocompatibility and biodistribution of these…”
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Modified grabcut for unsupervised object segmentation by Jahangiri, M., Heesch, D.

“…propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and…”
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Decision-making in variable environments — a case of group selection and inter-generational conflict? by Heesch, Daniel, Little, Max

“…Suppose organisms need to engage in a particular action exactly once during some fixed period of time. Further suppose they can time this action to optimise…”
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Learning Markovian Dependencies from Annotated Images by Heesch, D., Petrou, M.

“…In this paper we propose to model structural knowledge about scenes by a Markov random field whose conditional probabilities are learned from the spatial and…”
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Chaotic Root-Finding for a Small Class of Polynomials by Little, Max, Heesch, Daniel

“…In this paper we present a new closed-form solution to a chaotic difference equation, y(n+1) = a2 y(n)^2 + a1 y(n) + a0 with coefficient a0 = (a1 - 4)(a1 + 2)…”
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A comparative study of evidence combination strategies by Yavlinsky, A., Pickering, M.J., Heesch, D., Ruger, S.

“…The paper reports on experimental results obtained from a performance comparison of feature combinations strategies in content based image retrieval. The use…”
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Multi-resolution and Multi-bit Representation for Image Similarity Search by Aysal, T.C., Heesch, D.C.

“…This paper explores the use of multi-bit quantisation of image features for similarity-based image retrieval. Our work builds on multi-resolution image…”
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CRF Based Region Classification Using Spatial Prototypes by Jahangiri, M, Heesch, D, Petrou, M

“…This paper proposes a probabilistic model using conditional random field (CRF) for region labelling that encodes and exploits the spatial context of a region…”
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Cross-lingual searching and visualization for greek and latin and old norse texts by Rydberg-Cox, Jeffrey A., Vetter, Lara, Rüger, Stefan, Heesch, Daniel

“…We explore approaches to multi--lingual information retrieval for Greek, Latin, and Old Norse texts and an innovative visualization facility for the results…”
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