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检索条件"机构=Advanced Computer Engineering Lab"

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Approximate dynamic space warping for fast shape retrieval

Approximate dynamic space warping for fast shape retrieval

引用

2009 International Conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2009

作者： Alajlan, Naif Advanced Lab. for Intelligent Systems Research Computer Engineering Dept. King Saud University P. O. Box 51178 Riyadh 11543 Saudi Arabia

ISBN: (纸本)9781601321190

Dynamic space warping (DSW) has emerged as a very effective algorithm for matching shapes. However, a central computational difficulty associated with DSW arises when a boundary's starting point (or rotation angle) is unknown. In this paper, the HopDSW algorithm is proposed to speed up the starting point computation. Rather than performing an exhaustive search for the correct starting point as in classical approaches, the proposed algorithm operates in a coarse-tonne manner. The coarse search is global and uses a hopping step to exclude points from the search. Then, the search is refined in the neighborhood of the solution of the coarse search. A criterion that governs selecting the hopping step parameter is given, which reduces the number of starting point computations by an order. For shape representation, triangle area signature (TAS) is computed from triangles formed by the boundary points. Experimental results on the MPEG-7 CE-1 database of 1400 shapes show that the proposed algorithm returns the solution of the exhaustive search with a high degree of accuracy and a considerable reduction in the number of computations.

关键词： Motion Picture Experts Group standards

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Rotation sensing based on a slow-light resonating structure with high group dispersion

Rotation sensing based on a slow-light resonating structure ...

引用

作者： Chao, Peng Zhengbin, Li Anshi, Xu Natl. Lab. on Local Fiber-Optic Communication Networks and Advanced Optical Communication Systems School of Electronics Engineering and Computer Science Peking University Peking 100871 China

The concept of the Sagnac effect in a slow-light medium and resonator structure with a high group dispersion is investigated. It is found that a slow-light medium can be utilized for relative motion sensing, and a slow-light resonator structure is suitable to detect absolute rotation for navigation purposes. It is noted that the high group dispersion leads to a huge enhancement of the rotation sensor's sensitivity in a resonating structure, and an approach to evaluate and design resonator devices with slow-light property is proposed. Moreover, a folded loop-lattice-based structure is numerically simulated to verify the concept. © 2007 Optical Society of America.

关键词： Resonators

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Knowledge as a bridge: Improving cross-domain answer selection with external knowledge 27

Knowledge as a bridge: Improving cross-domain answer selecti...

引用

27th International Conference on Computational Linguistics, COLING 2018

作者： Deng, Yang Shen, Ying Yang, Min Li, Yaliang Du, Nan Fan, Wei Lei, Kai School of Electronics and Computer Engineering Peking University Shenzhen Graduate School China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Tencent Medical AI Lab.

ISBN: (纸本)9781948087506

Answer selection is an important but challenging task. Significant progress has been made in domains where a large amount of labeled training data is available. However, obtaining rich annotated data is a time-consuming and expensive process, creating a substantial barrier for applying answer selection models to a new domain which has limited labeled data. In this paper, we propose Knowledge-aware Attentive Network (KAN), a transfer learning framework for cross-domain answer selection, which uses the knowledge base as a bridge to enable knowledge transfer from the source domain to the target domains. Specifically, we design a knowledge module to integrate the knowledge-based representational learning into answer selection models. The learned knowledge-based representations are shared by source and target domains, which not only leverages large amounts of cross-domain data, but also benefits from a regularization effect that leads to more general representations to help tasks in new domains. To verify the effectiveness of our model, we use SQuAD-T dataset as the source domain and three other datasets (i.e., Yahoo QA, TREC QA and InsuranceQA) as the target domains. The experimental results demonstrate that KAN has remarkable applicability and generality, and consistently outperforms the strong competitors by a noticeable margin for cross-domain answer selection. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Knowledge based systems

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Double side control of wound rotor induction machine for wind energy application employing half controlled converters

Double side control of wound rotor induction machine for win...

引用

2005 IEEE Industry Applications Conference, 40th IAS Annual Meeting

作者： Panda, Debiprasad Lipo, Thomas A. Rockwell Automation Advanced Technology Lab. Richmond Heights OH 44143 United States Department of Electrical and Computer Engineering University of Wisconsin Madison WI 53706 United States

ISBN: (纸本)0780392086

A double side converter fed wound rotor induction machine control for a wind energy application is proposed in this paper. In order to reduce the cost of a wind generator system, a new configuration using half controlled converters for both the stator and rotor circuit as well as for the line side is proposed. The proposed controller reduces the required KVA rating of both machine side and line side converters, improves the efficiency of the wind generator, helps operating over a wide speed range and supports near unity power factor interface with the grid. It is shown that the combined KVA rating of both the machine side converters are even less than that of the machine side converter for a conventional rotor side control configuration. Also, both stator and rotor side being connected to the grid through two power stages, the system will be least affected by the fault or disturbances in the gird. The proposed configuration is simulated for a 30kW wound rotor machine in SABER and the simulation results are presented. © 2005 IEEE.

关键词： Induction motors

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Cooperative denoising for distantly supervised relation extraction 27

Cooperative denoising for distantly supervised relation extr...

引用

27th International Conference on Computational Linguistics, COLING 2018

作者： Lei, Kai Chen, Daoyuan Li, Yaliang Du, Nan Yang, Min Fan, Wei Shen, Ying School of Electronics and Computer Engineering Peking University Shenzhen Graduate School China Tencent Medical AI Lab. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China

ISBN: (纸本)9781948087506

Distantly supervised relation extraction greatly reduces human efforts in extracting relational facts from unstructured texts. However, it suffers from noisy labeling problem, which can degrade its performance. Meanwhile, the useful information expressed in knowledge graph is still underutilized in the state-of-the-art methods for distantly supervised relation extraction. In the light of these challenges, we propose CORD, a novel COopeRative Denoising framework, which consists two base networks leveraging text corpus and knowledge graph respectively, and a cooperative module involving their mutual learning by the adaptive bi-directional knowledge distillation and dynamic ensemble with noisy-varying instances. Experimental results on a real-world dataset demonstrate that the proposed method reduces the noisy labels and achieves substantial improvement over the state-of-the-art methods. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Knowledge graph

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Achievable sum rate bounds of zero-forcing based linear multi-user MIMO systems 44

Achievable sum rate bounds of zero-forcing based linear mult...

引用

44th Annual Allerton Conference on Communication, Control, and Computing 2006

作者： Chae, Chan-Byoung Heath, Robert W. Mazzarese, David Dept. of Electrical and Computer Engineering Univ. of Texas Austin AustinTX78712-0240 United States Advanced Research Lab Samsung Electronics Suwon Korea Republic of

ISBN: (纸本)9781604237924

In this paper, jointly optimized linear transmit beamforming and receive processing for the downlink of a multi-user multiple input multiple output (MIMO) system is investigated. In this system the base station, equipped with multiple antennas, transmits to several users, who are also equipped with multiple antennas. To solve the dimensionality constraint imposing by conventional block diagonalization (BD), we propose an iteration based coordinated beamforming (CBF) method and also consider block diagonalization with receive antenna selection (BDRAS) for performance comparison. We show the upper and lower bounds on ergodic sum rate of CBF and BDRAS. Analysis and simulation results show that the proposed beamforming always outperforms conventional BDRAS, and achieves a sum rate close to the MIMO broadcast channel (BC) sum capacity.

关键词： Beamforming

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On designing QoS for congestion control service using neural network predictive techniques

On designing QoS for congestion control service using neural...

引用

IEEE International Conference on Granular Computing

作者： Xiong, N. Yang, Y. He, Jing He, Yanxiang IEEE Japan School of Information Science Japan Advanced Institute of Science and Technology Japan Department of Computer Science Utah State University Logan UT 84322-4205 United States State Key Lab. of Software Engineering Computer School Wuhan University China

ISBN: (纸本)142440133X

With the ever-increasing data transmission applications recently, considerable efforts have been focused on the design of congestion control scheme for data transmission service to guarantee the quality of service (QoS). The main difficulty in designing an efficient congestion controller for data transmission service stems from the heterogeneous receivers, especially those with large propagation delays in data transfer, which also mean the feedbacks arriving at the source are somewhat outdated and can be harmful to the control actions. This usually leads to a mismatch between the network resources and the amount of admitted traffic. To attack this problem, the present paper describes a novel congestion control scheme that is based on a Back Propagation (BP) neural network technique. We consider a general computer communication model with multiple sources and one destination node. This network-assisted property is different from the existed control scheme in that the data source can predict the dynamic of buffer occupancy of the bottleneck node for which the back control packets experience very long propagation delay and probably cause irresponsiveness of a. data flow. This active scheme makes the control more responsive to the network status. Thus the rate adaptation can be in a timely manner for the sender to react to network congestion quickly. We analyze the theoretical aspects of the proposed algorithm, show how the control mechanism can be used to design a controller to support the data transmission based on feedback of explicit rates' (ER's), and verify this agreement by the simulations. Simulation results show the efficiency of our scheme in terms of quickly response and excellent predictive accuracy.

关键词： neural network applications neural networks traffic control (communication) interconnection networks transportation networks

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Automatic combination strategy search in segmentation of Cardiac T1 mapping image 4

Automatic combination strategy search in segmentation of Car...

引用

4th International Conference on advanced Electronic Materials, computers and Software engineering, AEMCSE 2021

作者： Wangchen, Xingyu Shen, Wenfeng Takasumi, Hideaki Seino, Shinya Zhu, Xin Shanghai University School of Computer Engineering and Science Shanghai China Shanghai University School of Computer Engineering and Science Shanghai Institute for Advanced Communication and Data Science Shanghai China Fukushima Medical University Hospital Department of Radiology Fukushima Japan The University of Aizu Biomedical Information Engineering Lab Fukushima9658580 Japan

ISBN: (纸本)9781665415965

Fusion of multiple medical images may improve image quality and ease feature extraction for the diagnosis and therapy of diseases. In cardiac magnetic resonance (MR) images T1 mapping, multiple MR images are reconstructed for the estimation of T1 mapping;therefore, heart myocardium should be segmented from images for further analysis using T1 values. Traditionally, segmentation is performed for each image separately, and the per-image segmentation results are combined in a complicated way to get a final segmentation result. Traditional combination methods require the segmentation results of all images satisfy certain criteria, and therefore often fail because of low image quality. However, it is very difficult to design a combination strategy to integrate the information of multiple images for segmentation. In this study, we designed the Segfuse network based on convolutional neural networks to get strategies for improving the segmentation performance of T1 mapping images even when some images were of low quality. After validating with 112 images from 42 subjects, the segmentation accuracy based on the Segfuse had a mean dice of 80.2%, nearly equivalent to that of a traditional method. © 2021 IEEE.

关键词： Image segmentation

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Layer-Wise Multi-View Learning for Neural Machine Translation 28

Layer-Wise Multi-View Learning for Neural Machine Translatio...

引用

28th International Conference on Computational Linguistics, COLING 2020

作者： Wang, Qiang Li, Changliang Zhang, Yue Xiao, Tong Zhu, Jingbo Machine Intelligence Technology Lab. Alibaba DAMO Academy Hangzhou China Kingsoft AI Lab. Beijing China Institute of Advanced Technology Westlake Institute for Advanced Study Hangzhou China School of Computer Science and Engineering Northeastern University Shenyang China NiuTrans Research Shenyang China

ISBN: (纸本)9781952148279

Traditional neural machine translation is limited to the topmost encoder layer’s context representation and cannot directly perceive the lower encoder layers. Existing solutions usually rely on the adjustment of network architecture, making the calculation more complicated or introducing additional structural restrictions. In this work, we propose layer-wise multi-view learning to solve this problem, circumventing the necessity to change the model structure. We regard each encoder layer’s off-the-shelf output, a by-product in layer-by-layer encoding, as the redundant view for the input sentence. In this way, in addition to the topmost encoder layer (referred to as the primary view), we also incorporate an intermediate encoder layer as the auxiliary view. We feed the two views to a partially shared decoder to maintain independent prediction. Consistency regularization based on KL divergence is used to encourage the two views to learn from each other. Extensive experimental results on five translation tasks show that our approach yields stable improvements over multiple strong baselines. As another bonus, our method is agnostic to network architectures and can maintain the same inference speed as the original model. © 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.

关键词： Neural machine translation

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Radio-Frequency properties of Teflon Amorphous Fluoropolymer deposited on gold CPW transmission lines

Radio-Frequency properties of Teflon Amorphous Fluoropolymer...

引用

2012 IEEE 13th Annual Wireless and Microwave Technology Conference, WAMICON 2012

作者： Alstad, Jordan Franklin, Rhonda Renn, Michael Bourassa, Justin Electrical and Computer Engineering University of Minnesota Twin Cities Minneapolis MN United States Advanced Applications Lab. Optomec Inc. St. Paul MN United States

ISBN: (纸本)9781467301299

Advancements in Radio-Frequency (RF) technology are being used in interdisciplinary fields like biotechnology and biomedicine. Materials are needed that can serve multiple purposes. RF signals are being used to study biological systems, such as cells and bacteria, using integrated circuit fabrication techniques. These methods, however, are not always compatible with biological environments. This paper investigates the RF properties of Dupont Teflon Amorphous Fluoropolymer (Teflon AF) as masking film on gold coplanar waveguide (CPW) structures. The physical properties and the deposition method are discussed and data (45 MHz-50 GHz) on the reflection, transmission and effective permittivity is presented. Insertion loss change is less than 2% between coated and uncoated structures. © 2012 IEEE.

关键词： Polytetrafluoroethylenes

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