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26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012

作者： Ren, Xiaofeng Bo, Liefeng Intel Science and Technology Center for Pervasive Computing Intel Labs Seattle WA 98195 United States

ISBN: (纸本)9781627480031

Finding contours in natural images is a fundamental problem that serves as the basis of many tasks such as image segmentation and object recognition. At the core of contour detection technologies are a set of hand-designed gradient features, used by most approaches including the state-of-the-art Global Pb (gPb) operator. In this work, we show that contour detection accuracy can be significantly improved by computing Sparse Code Gradients (SCG), which measure contrast using patch representations automatically learned through sparse coding. We use K-SVD for dictionary learning and Orthogonal Matching Pursuit for computing sparse codes on oriented local neighborhoods, and apply multi-scale pooling and power transforms before classifying them with linear SVMs. By extracting rich representations from pixels and avoiding collapsing them prematurely, Sparse Code Gradients effectively learn how to measure local contrasts and find contours. We improve the F-measure metric on the BSDS500 benchmark to 0.74 (up from 0.71 of gPb contours). Moreover, our learning approach can easily adapt to novel sensor data such as Kinect-style RGB-D cameras: Sparse Code Gradients on depth maps and surface normals lead to promising contour detection using depth and depth+color, as verified on the NYU Depth Dataset.

关键词： Object recognition

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High Performance Solvers for Implicit Particle in Cell Simulation

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Procedia Computer science 2013年 18卷 2251-2258页

作者： Pawan Kumar Stefano Markidis Giovanni Lapenta Karl Meerbergen Dirk Roose Department of Computer Science Celestijnenlaan 200A 3001 Heverlee Belgium Flanders Exascience Lab (Intel Labs Europe) Heverlee Belgium High Performance Computing and Visualization (HPCViz) Department KTH Royal Institute of Technology Stockholm Sweden Center for Plasma Astrophysics Department of Mathematics Celestijnenlaan 200B Heverlee Belgium

A three-dimensional implicit particle-in-cell (iPIC3D) method implemented by S. Markidis et. al. in [“Multiscale simulations of plasma with iPIC3D”, Mathematics and Computers in Simulation, 80(2010), 1509-1519] allows time steps at magnetohy- drodynamics time scale. The code requires the solution of two linear systems: a Poisson system related to divergence cleaning, and a system related to a second order formulation of Maxwell equation. In iPIC3D, the former is the most costly. To reduce the cost of solving the Poisson system, a parallel matrix assembly and partitioning method are implemented, and conjugate gradient and algebraic multigrid (AMG) solvers from the Hypre library are called. The scalability of AMG as a solver is studied for 1D and 3D partitionings and compared to that of CG.

关键词： Implicit PIC Algebraic multigrid Krylov solvers Distributed memory

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A machine-to-machine based framework for diabetes lifestyle management

A machine-to-machine based framework for diabetes lifestyle ...

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IEEE International Conference on Networking, Sensing and Control

作者： Zhen Wei Zhao Qiuran Ma Cheng-Chung Li Lingyi Liu Wen-Ding Li Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Department of Electrical and Computer Engineering University of British Columbia Canada Department of Electronics Science and Technology University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Intel-NTU Connected Context Computing Center National Taiwan University Taiwan

ISBN: (纸本)9781467351980

Diabetes is a chronic disease, from which millions of people suffer. To effectively treat diabetes, daily cares such as diet control, physical activities, and glucose measurement should be taken as part of diabetes patients' daily routine. To alleviate patients from such tedious but crucial daily cares, we propose a machine-to-machine based diabetes lifestyle management system. Our system can permeate patients' daily life and provide contextual advices based on their current health conditions and the surrounding environments. The essence of the proposed system is an event-triggered rule evaluation mechanism, which provides a flexible and scalable framework for caring diabetes patients in various aspects of daily life. Moreover, the adoption of the sensor-based technologies makes our system require minimal user intervention. With the proposed system, patients can be alerted before doing something harmful for their treatment, even if they are unaware of it. Furthermore, constructive advices can be pushed to patients at the right time, helping them manage lifestyle in a healthy way.

关键词： Diabetes Sugar Blood Mobile communication Servers Detectors Manuals

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A cross layer collaborating cache scheme to improve performance of HTTP clients in MANETs

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International Journal of u- and e- Service, science and technology 2013年第6期6卷 51-57页

作者： Liu, Jin Ren, Hongmin Wang, Jin Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Shanghai International Shipping Institute Shanghai Maritime University Shanghai China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China College of Information Engineering Shanghai Maritime University Shanghai China

This paper proposes a novel cross layer collaborating cache scheme for HTTP clients. It is designed to accelerate the process that an HTTP client retrieves Web content in mobile ad hoc network environment. Unlike other techniques to exploit Web proxy caching or to build P2P protocol overlay to improve HTTP, our scheme incorporates collaboratively working capability into the HTTP client response cache, and thus there is no impact on the compatibility of upper level applications. In addition, as the sharing file information is diffused with routing information, there is no redundant traffic to maintain the cooperating cache mechanism. Using this scheme, cacheable Web content can be distributed among local peers and retrieved later by a client if needed. In our simulation results, this novel cache scheme significantly decreases the latency experienced by a client to download Web content. © 2013 SERSC.

关键词： HTTP

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Low frequency analysis of resting-state fMRI

Low frequency analysis of resting-state fMRI

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2012 International Conference on Computer science and Information Processing, CSIP 2012

作者： He, Lianghua Ji, Hongfei Wan, Meng Liu, Shuang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Center for Science and Technology Development of the Ministry Education Beijing China

ISBN: (纸本)9781467314114

Resting state functional magnetic resonance imaging (rsfMRI) is a relatively new and an powerful method for evaluating regional interactions that occur when a participant is not performing an explicit task. Because of sensitiveness to time delay and length of time courses, respectively, traditional methods of correlation and coherence based on region of interest are not very suitable for rsfMRI. In this paper, we analyzed low frequency property of rsfMRI data. Firstly, we calculated the low frequency of resting-state Blood-Oxygenation-Level-Dependent(BOLD) signal on every voxel using Welch method, based on which we analyzed the statistical distribution cross subjects and voxels. The low frequency feature is proved by a series of experiments to be more robust and consistent comparing with coorelation in time domain and coherency in frequency domain. We found that the property of low frequency statistical distribution is dominant on narrow band, which is around 0.0137HZ. © 2012 IEEE.

关键词： Frequency domain analysis

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Discriminatively Trained Sparse Code Gradients for Contour Detection 12

Discriminatively Trained Sparse Code Gradients for Contour D...

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Annual Conference on Neural Information Processing Systems

作者： Xiaofeng Ren Liefeng Bo Intel Science and Technology Center for Pervasive Computing Intel Labs Seattle WA 98195 USA

ISBN: (纸本)9781627480031

关键词： contour detection Outlines contour Codes surface normal Sparse coding matching pursuits Sensor Data object recognition image segmentation pixel

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Detection-based object labeling in 3D scenes

Detection-based object labeling in 3D scenes

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kevin Lai Liefeng Bo Xiaofeng Ren Dieter Fox Department of Computer Science & Engineering University of Washington Seattle WA USA Intel Science and Technology Center on Pervasive Computing Seattle WA USA

We propose a view-based approach for labeling objects in 3D scenes reconstructed from RGB-D (color+depth) videos. We utilize sliding window detectors trained from object views to assign class probabilities to pixels in every RGB-D frame. These probabilities are projected into the reconstructed 3D scene and integrated using a voxel representation. We perform efficient inference on a Markov Random Field over the voxels, combining cues from view-based detection and 3D shape, to label the scene. Our detection-based approach produces accurate scene labeling on the RGB-D Scenes Dataset and improves the robustness of object detection.

关键词： Detectors Labeling Feature extraction Shape Object detection Training Videos

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Ontology-guided approach to retrieving disease manifestation images for health image base construction

Ontology-guided approach to retrieving disease manifestation...

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2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012

作者： Chen, Yang Ren, Xiaofeng Zhang, Guo-Qiang Xu, Rong Dept. of Electrical Engineering and Computer Engineering Case Western Reserve University Cleveland OH 44106-7071 United States Intel Science and Technology Center on Pervasive Computing Seattle WA 98195 United States Division of Medical Informatics Case Western Reserve University Cleveland OH 44106-7291 United States

ISBN: (纸本)9780769549217

Building a comprehensive medical image database, in the spirit of the UMLS, can be beneficial for assisting diagnosis, patient education and self-care. However, a highly curated, comprehensive image database is difficult to collect as well as to annotate. We present an approach to combine visual object detection technologies with medical ontology to automatically mine web photos and retrieve a large number of disease manifestation images with minimal manual labeling. Comparing to a supervised approach, our ontology-guided approach reduces manual labeling effort to 1/10 on a variety of eye/ear/mouth diseases and improves the precision of retrieval by over 10% in many cases. © 2012 IEEE.

关键词： Ontology

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Building a real-time system for high-level person recognition

Building a real-time system for high-level person recognitio...

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8th Bayesian Modeling ApplicationsWorkshop, BMAW 2011

作者： Dash, Denver Tran, Long Quoc Intel Embedded Systems Science and Technology Center Carnegie Mellon University Pittsburgh PA 15213 United States Georgia Institute of Technology United States

We describe a system that uses graphical models to perform real-time high-level perception. Our system uses Markov Logic Networks to relate entities in images via first-order logical sentences to perform real-time semi-supervised person recognition. The system is a collection of "commodity-level" vision algorithms such as the Viola-Jones face detector, histogram matching and even low-level pixel comparisons, together with logical relationships such as mutual exclusivity and entity confusion combined with a small number of labeled examples into a Markov random field which can be solved to provide labels for faces in the images. We describe the methodology for constructing the logical relations used for the system, and the (many) pitfalls we encountered despite the small number of relations used. We also discuss several future approaches to achieve interactive speeds for such a system, including bounding the size of the graph using temporal weighting of instances, approximating the structure of the graphical model, parallelizing graphical model inference, and lowlevel hardware acceleration.

关键词： Real time systems

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Retraction notice to ‘‘Specification and Verification of Dynamic Evolution of Software Architectures” [SYSARC 56 (10) (2010) 523–533]

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Journal of Systems Architecture 2012年第8期58卷 338-338页

作者： Xu Hongzhen Zeng Guosun Department of Computer Science and Technology Tongji University Shanghai 201804 China Department of Computer Science and Technology East China Institute of Technology Fuzhou Jiangxi Province 344000 China Application of Nuclear Technology Engineering Center of Ministry of Education Nanchang Jiangxi Province 330013 China Embedded System and Service Computing Key Lab of Ministry of Education Shanghai 201804 China

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