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检索条件"机构=Dep. Computer Science and Software Engineering"

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Image denoising based on overcomplete topographic sparse coding

Image denoising based on overcomplete topographic sparse cod...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Zhao, Haohua Luo, Jun Huang, Zhiheng Nagumo, Takefumi Murayama, Jun Zhang, Liqing MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Dep. of Computer Science and Engineering Shanghai Jiao Tong Univ. Shanghai China SONY Corporation Tokyo Japan

ISBN: (纸本)9783642420504

This paper presents a novel image denoising framework using overcomplete topographic model. To adapt to the statistics of natural images, we impose sparseness constraints on the denoising model. Based on the overcomplete topographic model, our denoising system improves over previous work on the following aspects: multi-category based sparse coding, adaptive learning, local normalization, and shrinkage function. A large number of simulations have been performed to show the performance of the modified model, demonstrating that the proposed model achieves better denoising performance. © Springer-Verlag 2013.

关键词： Shrinkage

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Image Deblurring Using Fast Best Kernel Retrieval

Image Deblurring Using Fast Best Kernel Retrieval

引用

Asian Conference on Pattern Recognition (ACPR)

作者： Hui-Yu Huang Wei-Chang Tsai Dep. of Computer Science and Information Engineering National Formosa University Taiwan

In this paper, we propose a kernel estimation algorithm using fast best kernel retrieval (FBKR) from spectral irregularities to achieve the deblurring. In daily life, when people take a photograph by any kinds of camera equipment, image motion blur caused by camera motion often happens. Camera motion during exposure will produce a blurred image, this kind of blur is often non-liner mode. Motion blur always causes the decline of image quality, as long as the users using the hand-held photography equipment often have a similar experience. Based on this reason, reconstructing a clear image from blurred image is the main objective in this paper. Reconstruction is an ill-pose problem. In current motion blur estimation algorithms, these algorithms usually use the recursive method to estimate motion blur kernel. However, recursive process is quite time-consuming. In order to enhance time-consuming, in this paper, based on iterative phase retrieval algorithm and normalized sparsity measure, we propose a fast and effective blur kernel retrieval algorithm, which can find the best kernel in a short time. Experiments verify that our method can effectively reduce the execution time and obtain the best motion blur kernel to deblur a deblurred image and keep the quality of image deblurring.

关键词： Kernel Estimation Clustering algorithms Image reconstruction Algorithm design and analysis Image edge detection Cameras

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Physical layer security vs. network layer secrecy: Who wins on the untrusted two-way relay channel?

Physical layer security vs. network layer secrecy: Who wins ...

引用

IEEE International Workshop on computer-Aided Modeling, Analysis, and Design of Communication Links and Networks, CAMAD

作者： Johannes Richter Elke Franz Sabrina Engelmann Stefan Pfennig Eduard A. Jorswieck Dep. of Electrical Engineering and Information Technology/Communications Laboratory Dep. of Computer Science/Privacy and Data Security Technische Universität Dresden Dresden Germany

We consider the problem of secure communications in a Gaussian two-way relay network where two nodes exchange confidential messages only via an untrusted relay. The relay is assumed to be honest but curious, i.e., an eavesdropper that conforms to the system rules and applies the intended relaying scheme. We analyze the achievable secrecy rates by applying network coding on the physical layer or the network layer and compare the results in terms of complexity, overhead, and efficiency. Further, we discuss the advantages and disadvantages of the respective approaches.

关键词： Physical layer Relays Network coding Lattices Payloads Cryptography

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On Rapid Releases and software Testing

On Rapid Releases and Software Testing

引用

International Conference on software Maintenance (ICSM)

作者： Mika V. Mäntylä Foutse Khomh Bram Adams Emelie Engström Kai Petersen Dep. of Computer Science and Engineering Aalto University Finland SWAT-MCIS École Polytechnique de Montréal Ouébec Canada Dep. of Computer Science Lund University Sweden School of Computing Blekinge Institute of Technology

ISBN: (纸本)9781467352185

Large open and closed source organizations like Google, Facebook and Mozilla are migrating their products towards rapid releases. While this allows faster time-to-market and user feedback, it also implies less time for testing and bug fixing. Since initial research results indeed show that rapid releases fix proportionally less reported bugs than traditional releases, this paper investigates the changes in software testing effort after moving to rapid releases. We analyze the results of 312,502 execution runs of the 1,547 mostly manual system level test cases of Mozilla Fire fox from 2006 to 2012 (5 major traditional and 9 major rapid releases), and triangulated our findings with a Mozilla QA engineer. In rapid releases, testing has a narrower scope that enables deeper investigation of the features and regressions with the highest risk, while traditional releases run the whole test suite. Furthermore, rapid releases make it more difficult to build a large testing community, forcing Mozilla to increase contractor resources in order to sustain testing for rapid releases.

关键词： computer bugs Measurement software software testing Google Browsers

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Refinement-based similarity measure over DL conjunctive queries

Refinement-based similarity measure over DL conjunctive quer...

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21st International Conference on Case-Based Reasoning Research and Development, ICCBR 2013

作者： Sánchez-Ruiz, Antonio A. Ontañón, Santiago González-Calero, Pedro Antonio Plaza, Enric Dep. Ingeniería del Software e Inteligencia Artificial Universidad Complutense de Madrid Spain Computer Science Department Drexel University Philadelphia PA 19104 United States Artificial Intelligence Research Institute Spanish Council for Scientific Research Campus UAB 08193 Bellaterra Catalonia Spain

ISBN: (纸本)9783642390555

Similarity assessment is a key operation in case-based reasoning and other areas of artificial intelligence. This paper focuses on measuring similarity in the context of Description Logics (DL), and specifically on similarity between individuals. The main contribution of this paper is a novel approach based on measuring similarity in the space of Conjunctive Queries, rather than in the space of concepts. The advantage of this approach is two fold. On the one hand it is indep.ndent of the underlying DL, and thus, there is no need to design similarity measures for different DL, and on the other hand, the approach is computationally more efficient than searching in the space of concepts. © 2013 Springer-Verlag.

关键词： Case based reasoning

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Infrared imaging and classification of neonates with necrotising enterocolitis

Infrared imaging and classification of neonates with necroti...

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World Congress on Medical Physics and Biomedical engineering

作者： Frize, Monique Nur, Ruqia Bariciak, Erika Herry, Christophe Systems and Computer Engineering Carleton University Ottawa ON Canada School of Electrical Engineering and Computer Science U. of Ottawa Ottawa ON Canada Dep. of Paediatrics University of Ottawa Ottawa ON Canada Hopital Rivière-des-Prairies Montreal QC Canada Ecole de Technologie Superieure Universite du Quebec Montreal QC Canada

ISBN: (纸本)9783642293047

Necrotising Enterocolitis (NEC) is a devastating intestinal disease associated with high rate of mortality and long-term morbidity. It can be successfully treated if diagnosed early, but there is no reliable way to detect NEC in early stages. Infrared imaging can detect tissue inflammation and thus can offer an early diagnostic tool for NEC. We enrolled infants with no clinical or radiographic signs of NEC, and a group consisting of infants with evidence of at least Bell's Stage 2 NEC. The infants underwent bedside infrared imaging for 60 seconds. Our dataset consisted of 20 normal infants and 9 infants with NEC. In infants with NEC, the upper-to-lower (UL) region temperatures differed significantly, whereas there was no significant difference in the UL quadrant temperatures in normal infants (p = 0.0037 Wilcoxon Rank-Sum and Kruskal-Wallis tests). We found no significant differences in left-to-right (LR) quadrant abdominal temperature profiles for both the normal and the NEC group. The performance of the Decision Tree classifier was highest when using the medians of UL quadrant temperatures;the mean specificity, sensitivity, and standard deviations for ten trials with medians and means were respectively: 90&+/-12%;78%+/-18%;88%+/-14%;69%+/-12%. We conclude that abdominal infrared imaging of preterm infants yields thermal profiles that can be analyzed and classified using statistical methods and decision trees to identify infants with and without NEC. Future work includes automating the analysis, conducting a prospective study to attempt detecting NEC at earlier stages, and assessing other image analysis approaches to enhance the overall performance of our methodology. © 2013 Springer-Verlag.

关键词： Statistical methods

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Biometric iris image acquisition system with wavefront coding technology

Biometric iris image acquisition system with wavefront codin...

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5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013

作者： Hsieh, Sheng-Hsun Yang, Hsi-Wen Huang, Shao-Hung Li, Yung-Hui Tien, Chung-Hao Dep. of Photonics National Chiao Tung Univ. 1001 University Rd. Hsinchu 300 Taiwan Dept. of Information Engineering and Computer Science Feng Chia Univ. 100 Wenhwa Rd. Seatwen Taichung 407 Taiwan

ISBN: (纸本)9780819497765

Biometric signatures for identity recognition have been practiced for centuries. Basically, the personal attributes used for a biometric identification system can be classified into two areas: one is based on physiological attributes, such as DNA, facial features, retinal vasculature, fingerprint, hand geometry, iris texture and so on;the other scenario is dep.ndent on the individual behavioral attributes, such as signature, keystroke, voice and gait style. Among these features, iris recognition is one of the most attractive approaches due to its nature of randomness, texture stability over a life time, high entropy density and non-invasive acquisition. While the performance of iris recognition on high quality image is well investigated, not too many studies addressed that how iris recognition performs subject to non-ideal image data, especially when the data is acquired in challenging conditions, such as long working distance, dynamical movement of subjects, uncontrolled illumination conditions and so on. There are three main contributions in this paper. Firstly, the optical system parameters, such as magnification and field of view, was optimally designed through the first-order optics. Secondly, the irradiance constraints was derived by optical conservation theorem. Through the relationship between the subject and the detector, we could estimate the limitation of working distance when the camera lens and CCD sensor were known. The working distance is set to 3m in our system with pupil diameter 86mm and CCD irradiance 0.3mW/cm2. Finally, We employed a hybrid scheme combining eye tracking with pan and tilt system, wavefront coding technology, filter optimization and post signal recognition to implement a robust iris recognition system in dynamic operation. The blurred image was restored to ensure recognition accuracy over 3m working distance with 400mm focal length and aperture F/6.3 optics. The simulation result as well as experiment validates the proposed code ap

关键词： Image reconstruction

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Motion Planning in Crowds using Statistical Model Checking to Enhance the Social Force Model

Motion Planning in Crowds using Statistical Model Checking t...

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IEEE Annual Conference on Decision and Control

作者： Alessio Colombo Daniele Fontanelli Axel Legay Luigi Palopoli Sean Sedwards Dep. of Information Engineering and Computer Science University of Trento Via Sommarive 5 Trento Italy INRIA Rennes Bretagne Atlantique Rennes France

ISBN: (纸本)9781467357159

Crowded environments pose a challenge to the comfort and safety of those with impaired ability. To address this challenge we have developed an efficient algorithm that may be embedded in a portable device. The algorithm anticipates undesirable circumstances in real time, by verifying simulation traces of local crowd dynamics against temporal logical formulae. The model incorporates the objectives of the user, pre-existing knowledge of the environment and real time sensor data. The algorithm is thus able to suggest a course of action to achieve the user's changing goals, while minimising the probability of problems for the user and others in the environment. To demonstrate our algorithm we have implemented it in an autonomous computing device that we show is able to negotiate complex virtual environments. The performance of our implementation demonstrates that our technology can be successfully applied in a portable device or robot.

关键词： motion planning Model checking Portable equipment Crowding Environments Sensor Data COMFORT statistical models (nuclear) efficient algorithm

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New Web Information Retrieval paradigm based on a Multi-Space Interpretation Index and Projection operations

New Web Information Retrieval paradigm based on a Multi-Spac...

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International Conference on Information, Communication and Automation Technologies

作者： Mehdi Adda Amel Hannech Hamid Mcheick Mathematics Computer Science and Engineering Dep. University of Quebec At Rimouski Computer Science and Engineering Dep. University of Quebec At Chicoutimi

ISBN: (纸本)9781479904297

Classical search engines rely mainly on keyword matches. More advanced search engines and information retrieval systems use personalization techniques to enhance the relevancy of the results. Those approaches assume that the current search of a user is directly related to his/her profiles and/or past navigation/search experience. However, this assumption does not hold in all cases. In this paper, we are proposing an information retrieval approach that is not making any assumption about the user. It offers a straightforward way to choose and navigate the available interpretations. Our approach relies on a navigation model that is based on a new paradigm called multi-space interpretation index and projection operations. We have derived a mathematical model of a Web information retrieval system based on the new paradigm. This concept naturally distinguishes between the different interpretation layers (each layer is a separate space). Therefore, it offers to users the flexibility to navigate the interpretation spaces in such a way that suites better their information needs.

关键词： Information retrieval Search engines Interpretation Projection

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A Device Abstraction Framework for the Robotic Mediator Collaborating with Smart Environments

A Device Abstraction Framework for the Robotic Mediator Coll...

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IEEE International Conference on Computational science and engineering, CSE

作者： Young-Ho Suh Kang-Woo Lee Eun-Sun Cho Intelligent Agent Research Team Electronics and Telecommunication Research Institute Deajeon Republic of Korea Dep. of Computer Science and Engineering Chungnam National University Daejeon Republic of Korea

A robotic mediator is a robot platform that mediates between the user and the smart environment system in order to capture user's intent and provide proactive services by collaborating with available resources in the environment. In order for a robotic mediator to provide the user with proactive context-aware services, it must communicate and collaborate with diverse heterogeneous devices and systems in the smart environment. However, existing network robot software platforms are not flexible enough to effectively integrate both of the respective features specific to robots and environments. Moreover, they do not support high-level collaboration model that is crucial to enable mediating between the user and the smart environment. In order to address the problem, we proposed ICARS [10], integrated control architecture for the robotic mediator in smart environments. ICARS consists of three layers each of which provides a flexible communication/device model, an adaptive service model for the integrated robot control architecture and a behavior-based high-level collaboration model as a key feature respectively. In this paper, we present the detailed design, implementation, and experiments of ICARS mainly focusing on the communication/device model layer. The experimental results show that ICARS enables flexible integration of the diverse devices in the robot and environment, adaptive service provision for collaborative services and easy development of high-level collaborative applications.

关键词： Robots Collaboration software computer architecture Adaptation models Object oriented modeling Planets

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