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Fast anatomical structure localization using top-down image patch regression

Fast anatomical structure localization using top-down image ...

引用

15th International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2012

作者： Donner, René Menze, Bjoern H. Bischof, Horst Langs, Georg Computational Image Analysis and Radiology Lab. Department of Radiology Medical University Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Austria CSAIL MIT Cambridge MA United States Asclepios Project INRIA Sophia-Antipolis France Computer Vision Laboratory ETH Zurich Switzerland

ISBN: (纸本)9783642366192

Fully automatic localization of anatomical structures in 2D and 3D radiological data sets is important in both computer aided diagnosis, and the rapid automatic processing of large amounts of data. We present a simple, accurate and fast approach with low computational complexity to find anatomical landmarks, based on a multi-scale regression codebook of informative image patches and encoded landmark contexts. From a set of annotated training volumes the method captures the appearance of landmarks over several scales together with relative positions of neighboring landmarks and a spatial distribution model. During multi-scale search in a target volume, starting from the coarsest level, each landmark model predicts all landmark positions it has encoded, with the median of all predictions yielding the final prediction for each scale. We present results on two challenging data sets (hand radiographs and hand CTs), where our method achieves comparable accuracy to the state of the art with substantially improved run-time. © 2013 Springer-Verlag.

关键词： computer aided diagnosis

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General-Purpose graphics Processing Units in Service-Oriented Architectures

General-Purpose Graphics Processing Units in Service-Oriente...

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IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

作者： Marıa del Carmen Calatrava Moreno Thomas Auzinger Technische Universitat Wien Wien Wien AT Institute of Computer Graphics and Algorithms Vienna University of Technology Vienna Austria

Over the last decades, graphics processing units have developed from special-purpose graphics accelerators to general-purpose massively parallel co-processors. In recent years they gained increased traction in high performance computing, as they provide superior computational performance in terms of runtime and energy consumption for a wide range of problems. In this survey, we review their employment in distributed computing for a broad range of application scenarios. Common characteristics and a classification of the most relevant use cases are described. Furthermore, we discuss possible future developments of the use of general purpose graphics processing units in the area of service-oriented architecture. The aim of this work is to inspire future research in this field and to give guidelines on when and how to incorporate this new hardware technology.

关键词： graphics processing units Hardware computer architecture graphics Instruction sets Computational modeling Semiconductor optical amplifiers

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Automatic detection of nominal entities in speech for enriched content search

Automatic detection of nominal entities in speech for enrich...

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26th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013

作者： Calix, Ricardo A. Javadpour, Leili Khazaeli, Mehdi Knapp, Gerald M. Computer Information Technology and Graphics Purdue University Calumet 279 Gyte Hammond IN 46323 United States Mechanical and Industrial Engineering 2508 Patrick F. Taylor Hall Louisiana State University Baton Rouge LA 70803 United States

ISBN: (纸本)9781577356059

In this work, a methodology is developed to detect sentient actors in spoken stories. Meta-tags are then saved to XML files associated with the audio files. A recursive approach is used to find actor candidates and features which are then classified using machine learning approaches. Results of the study indicate that the methodology performed well on a narrative based corpus of children's stories. Using Support Vector Machines for classification, an F-measure accuracy score of 86% was achieved for both named and unnamed entities. Additionally, feature analysis indicated that speech features were very useful when detecting unnamed actors.

关键词： Learning systems

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Towards preservation of semantically enriched architectural knowledge 3

Towards preservation of semantically enriched architectural ...

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3rd International Workshop on Semantic Digital Archives, SDA 2013 - Co-located with 17th International Conference on Theory and Practice of Digital Libraries, TPDL 2013

作者： Dietze, Stefan Beetz, Jakob Gadiraju, Ujwal Katsimpras, Georgios Wessel, Raoul Berndt, René L3S Research Center Leibniz University Hannover Germany Department of the Built Environment Eindhoven University of Technology Netherlands Computer Graphics Group University of Bonn Germany Fraunhofer Austria Research GmbH Visual Computing Graz Austria

Preservation of architectural knowledge faces substantial challenges, most notably due the high level of data heterogeneity. On the one hand, low-level architectural models include 3D models and point cloud data up to richer building information models (BIM), often residing in isolated data stores with insufficient support for ensuring consistency and managing change. On the other hand, the Web contains vast amounts of information of potential relevance for stakeholders in the architectural field, such as urban planners, architects or building operators. This includes in particular Linked Data, offering structured data about, for instance, energy-efficiency policies, geodata or traffic and environmental information but also valuable knowledge which can be extracted from social media, for instance, about peoples' movements in and around buildings or their perception of certain structures. In this paper we provide an overview of our early work towards building a sustainable, semantic longterm archive in the architectural domain. In particular we highlight ongoing activities on semantic enrichment of low-level architectural models towards the curation of a semantic archive of architectural knowledge. © 2013 for the individual papers by the papers' authors.

关键词： Linked data

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Pipelined embedded processor of quaternionic m-band wavelets for image multiresolution analysis

Pipelined embedded processor of quaternionic m-band wavelets...

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Mediterranean Conference on Embedded Computing (MECO)

作者： Nicolai A. Petrovsky Marek Parfieniuk Alexander Petrovsky Department of Computer Engineering Belarusian State University of Informatics and Radioelectronics Minsk Belarus Department of Digital Media and Computer Graphics Bialystok University of Technology Bialystok Poland

Multiresolution analysis of image data based on the novel m-channel linear-phase paraunitary filter banks (LP PUFBs) using quaternion multipliers are presented, which are aimed at finite-precision implementation. In the given paper the universal quaternion multiplier as a kernel of m-band wavelets analysis on combining the CORDIC algorithm with a lifting scheme is considered. Finally, the FPGA-based eight-channel linear phase paraunitary filter bank is validated by its application to image, in particular, to lossless-to-lossy coding.

关键词： Wavelet transforms Table lookup

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Learning monocular reactive UAV control in cluttered natural environments

Learning monocular reactive UAV control in cluttered natural...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh PA USA Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781467356404

Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairly straight-forward, as expensive sensors and monitoring devices can be employed. In contrast, obstacle avoidance remains a challenging task for Micro Aerial Vehicles (MAVs) which operate at low altitude in cluttered environments. Unlike large vehicles, MAVs can only carry very light sensors, such as cameras, making autonomous navigation through obstacles much more challenging. In this paper, we describe a system that navigates a small quadrotor helicopter autonomously at low altitude through natural forest environments. Using only a single cheap camera to perceive the environment, we are able to maintain a constant velocity of up to 1.5m/s. Given a small set of human pilot demonstrations, we use recent state-of-the-art imitation learning techniques to train a controller that can avoid trees by adapting the MAVs heading. We demonstrate the performance of our system in a more controlled environment indoors, and in real natural forest environments outdoors.

关键词： Training Cameras Trajectory Optical imaging Sensors Visualization Vegetation

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A memetic algorithm with two distinct solution representations for the partition graph coloring problem

A memetic algorithm with two distinct solution representatio...

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14th International Conference on computer Aided Systems Theory, EUROCAST 2013

作者： Pop, Petrica C. Hu, Bin Raidl, Günther R. Tech. Univ. Cluj-Napoca North Univ. Center Baia-Mare 76 Victoriei 430122 Baia-Mare Romania Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11/1861 1040 Vienna Austria

ISBN: (纸本)9783642538551

In this paper we propose a memetic algorithm (MA) for the partition graph coloring problem. Given a clustered graph G = (V,E), the goal is to find a subset V âŠ V that contains exactly one node for each cluster and a coloring for V so that in the graph induced by V, two adjacent nodes have different colors and the total number of used colors is minimal. In our MA we use two distinct solution representations, one for the genetic operators and one for the local search procedure, which are tailored for the corresponding situations, respectively. The algorithm is evaluated on a common benchmark instances set and the computational results show that compared to a state-of-the-Art branch and cut algorithm, our MA achieves solid results in very short run-times. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Benchmarking

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Memory Efficient 3D Integral Volumes

Memory Efficient 3D Integral Volumes

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International Conference on computer Vision Workshops (ICCV Workshops)

作者： Martin Urschler Alexander Bornik Michael Donoser Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz Austria Institute for Computer Graphics and Vision Graz University of Technology Austria

Integral image data structures are very useful in computer vision applications that involve machine learning approaches based on ensembles of weak learners. The weak learners often are simply several regional sums of intensities subtracted from each other. In this work we present a memory efficient integral volume data structure, that allows reduction of required RAM storage size in such a supervised learning framework using 3D training data. We evaluate our proposed data structure in terms of the tradeoff between computational effort and storage, and show an application for 3D object detection of liver CT data.

关键词： Three-dimensional displays Computational modeling Training Memory management Data structures Computed tomography Solid modeling

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A Web-Based Tool for Collaborative Social Media Data Analysis

A Web-Based Tool for Collaborative Social Media Data Analysi...

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International Conference on Cloud and Green Computing (CGC)

作者： Xin Chen Krishna Madhavan Mihaela Vorvoreanu School of Engineering Education Purdue University West Lafayette US Computer Graphics Technology Purdue University West Lafayette US

User-generated content on social media sites such as Twitter and Facebook provides opportunity for researchers in various fields to understand human behaviors and social phenomena. On the one hand, these human behaviors and social phenomena are very complex in nature thus require in-depth qualitative analysis. On the other, the magnitude of social media data requires large-scale data analysis techniques. In this paper, we propose a web-based tool named SWAB (Social Web Analysis Buddy) that integrates both qualitative analysis and large-scale data mining techniques. Specifically, this tool supports asynchronous collaboration among researchers conducting inductive content analysis on textural data from users' online posts and conversations. It then aggregates the results and calculates the agreement among researchers, and builds modeling algorithms based on the qualitative results to classify large-scale social media text content. This current paper focuses on the overall workflow and user interface design of this tool. We demonstrate the prototype of this tool by analyzing student-posted content on Twitter.

关键词： Media Twitter Data analysis Servers Collaboration User interfaces Databases

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Vivisection: Skeleton-based volume editing

Vivisection: Skeleton-based volume editing

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15th Eurographics Conference on Visualization, EuroVis 2013

作者： Karimov, A. Mistelbauer, G. Schmidt, J. Mindek, P. Schmidt, E. Sharipov, T. Bruckner, S. Gröller, E. Institute of Computer Graphics and Algorithms Vienna University of Technology Vienna Austria Stockerau Regional Hospital Stockerau Austria Republican Clinical Hospital of G. G. Kuvatov Ufa Russia Department of Informatics University of Bergen Bergen Norway

Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation techniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing of the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation results. Our method exploits structural features of the segmented object to enable intuitive and robust correction and verification. We demonstrate that our new approach can significantly increase the segmentation quality even in difficult cases such as in the presence of severe pathologies. © 2013 The Author(s).

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