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Cluster Computing and the Power of Edge Recognition [chapter]

Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub
2006 Lecture Notes in Computer Science  
The complexity of recognizing edges-of an ordered collection of computation paths or of a cluster of accepting computation paths-is central to this study.  ...  Most particularly, our proofs exploit the power of unique discovery of edges-the ability of nondeterministic functions to, in certain settings, discover on exactly one (in some cases, on at most one) computation  ...  We thank the anonymous Third International Conference on Theory and Applications of Models of Computation (TAMC '06) and Information and Computation referees for their helpful suggestions, which much improved  ... 
doi:10.1007/11750321_27 fatcat:dxk62ykyircq3ninndocwnbrpm

Cluster Computing and the Power of Edge Recognition [article]

Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub
2005 arXiv   pre-print
The complexity of recognizing edges--of an ordered collection of computation paths or of a cluster of accepting computation paths--is central to this study.  ...  computation path a critical piece of information regarding edges of orderings or clusters.  ...  Wagner for hosting the visit to Würzburg during which much of this work was done, for proposing the class CLU#P free , and for many other valuable suggestions and insights.  ... 
arXiv:cs/0509060v1 fatcat:xsiuyb3pofe7xpdixd6deykpqe

Cluster computing and the power of edge recognition

Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub
2007 Information and Computation  
The complexity of recognizing edges-of an ordered collection of computation paths or of a cluster of accepting computation paths-is central to this study.  ...  Most particularly, our proofs exploit the power of unique discovery of edges-the ability of nondeterministic functions to, in certain settings, discover on exactly one (in some cases, on at most one) computation  ...  We thank the anonymous Third International Conference on Theory and Applications of Models of Computation (TAMC '06) and Information and Computation referees for their helpful suggestions, which much improved  ... 
doi:10.1016/j.ic.2007.02.001 fatcat:gnstjahyofgnnnd3xdedia6ld4

Special issue on multimedia fog/edge computing systems

Yong Jin, Daniele D'Agostino, Nadjib Achir, James Nightingale, Jiacun Wang
2020 Multimedia Systems  
data processing and distribution with edge/fog computing, and how to design a fog/ edge computing assisted service enhancement mechanism.  ...  to improve the accuracy and robustness of facial expression recognition via inhibition of intra-class variation.  ... 
doi:10.1007/s00530-019-00643-7 fatcat:gbtelacdcnhw5l36apl5nxnq2q

Glasses Detection for Face Recognition Using Bayes Rules [chapter]

Zhong Jing, Robert Mariani, Jiankang Wang
2000 Lecture Notes in Computer Science  
The experiments indicate the performance of this method is better than that of Deformable Contour, and are satisfying.  ...  In this paper, we propose a method to detect, extract and to remove the glasses from a face image. The aim is to achieve a face recognition system robust to glasses presence.  ...  The mass centroid of each cluster is computed as the Representative Feature Vector (RFV) of the cluster. The process is illustrated as Figure 2 .  ... 
doi:10.1007/3-540-40063-x_17 fatcat:73q3jpnjavdrjj4xwjnv6j5meq

Highly secure edge-intelligent electric motorcycle management system for elevators

Zongwei Zhu, Jing Cao, Tiancheng Hao, Wenjie Zhai, Bin Sun, Gangyong Jia, Ming Li
2020 Journal of Cloud Computing: Advances, Systems and Applications  
Moreover, compared to cloud computing, our edge-based method can reduce the latency by 19.6%, meeting real-time requirements.  ...  Cloud-based deployment methods have the disadvantages of high latency, high risk of privacy leakage, and heavy network transmission loads.  ...  However, the limited computing power and storage capacity of edge devices bring many restrictions to the choice of the network model.  ... 
doi:10.1186/s13677-020-00187-6 fatcat:y3hqukvmfnf7hdd5wfbcqwmebu

Mean Shift [chapter]

Johannes Fürnkranz, Philip K. Chan, Susan Craw, Claude Sammut, William Uther, Adwait Ratnaparkhi, Xin Jin, Jiawei Han, Ying Yang, Katharina Morik, Marco Dorigo, Mauro Birattari (+24 others)
2011 Encyclopedia of Machine Learning  
MRF methods -Feature space clustering -Mean shift 6 A Motivating Example Image segmentation plays a powerful role in human visual perception -Independent of particular objects or recognition  ...  affinity and normalized affinity matrices Widely used outside computer vision for graph-based clustering -Link structure of web pages, citation structure of scientific papers -Often directed  ... 
doi:10.1007/978-0-387-30164-8_527 fatcat:vhog6vwbcnc4ldizvrjfz2bfnm

Recognition and retrieval of objects in diverse applications

Laura Fernández-Robles
2018 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
We provided two new methods for insert localisation and an automatic solution for the recognition of broken inserts in edge profile milling heads.  ...  We evaluated different clusterings of keypoints for object retrieval and proposed a new descriptor, named colour COSFIRE.  ...  Motivation Object recognition is one of the fundamental tasks in computer vision.  ... 
doi:10.5565/rev/elcvia.1130 fatcat:7l2jpqsmgffulbs3ei5sh75ipm

Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition [article]

Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
2022 arXiv   pre-print
However, the computation and power demands of Deep Neural Network (DNN)-based inference pose significant challenges for nodes in an energy-harvesting wireless sensor network (EH-WSN).  ...  Seeker minimizes communication overheads and maximizes computation at each sensor without violating the quality of service.  ...  Fig. 1 : 1 Fig.1: A representation of edge computation (with Human Activity Recognition (HAR) as an example).  ... 
arXiv:2204.13106v1 fatcat:ryfubvnskrbarjj7kwdalia2f4

Portable Energy-Aware Cluster-Based Edge Computers

Thomas Rausch, Cosmin Avasalcai, Schahram Dustdar
2018 Zenodo  
for Robotics and Industrial Automation; the Austrian Federal Ministry of Science within the CPS/IoT Ecosystem project; and TU Wien research funds.  ...  ACKNOWLEDGMENT This work is partially supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłukodowska-Curie grant agreement No. 764785, FORA-Fog Computing  ...  How do different cluster configurations and load balancing policies affect the responsiveness and energy consumption of cluster-based edge computers?  ... 
doi:10.5281/zenodo.5849223 fatcat:mbag37rjnja4hdgfyxfg7hkaym

Gabor Wavelet based Face Recognition System using EWCVT and Bagging Adaboost Algorithm

Srinivasan A
2011 International Journal of Computer Applications  
This method lacks in efficiency and computational complexity because it involves huge volume of data.  ...  The results obtained prove that the proposed system has improved accuracy in recognition, more stability, less computational complexity and processing time.  ...  Computational models of face recognition must address several difficult problems.  ... 
doi:10.5120/2039-2667 fatcat:4nkgm44byvghheweo4jksuues4

Designing a NIALM in Smart Homes for Cognitive Assistance

Thomas Romain Camier, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane
2013 Procedia Computer Science  
Contextual information allow to improve the appliance recognition rate.  ...  Home assistance must allow them to keep a certain level of autonomy at home while not being intrusive.  ...  The results of validation experiment showed that taking account mapping, time stamping and feedback informations, improved the appliance recognition rate (Tab. 2).  ... 
doi:10.1016/j.procs.2013.06.070 fatcat:r4mwo5b5z5hjxfnaj6phkgy4ki

UAV-aided urban target tracking system based on edge computing [article]

Yajun Liu, Congxu Zhu, Xiaoheng Deng, Peiyuan Guan, Zhiwen Wan, Jie Luo, Enlu Liu, Honggang Zhang
2019 arXiv   pre-print
A novel target tracking model that coordinates the tracking by UAV and ground nodes in an edge computing environment is proposed in this study.  ...  The model can effectively reduce the communication cost and the long delay of the traditional surveillance camera system that relies on cloud computing, and it can improve the probability of finding a  ...  recognition with ground edge computing cluster.  ... 
arXiv:1902.00837v1 fatcat:bih2vsdlsvb3tnv2xj3yl4bc6u

An Improved Method of Geometric Hashing Pattern Recognition

Ling Ma, Yumin Liu, Huiqin Jiang, Zhongyong Wang, Haofei Zhou
2011 International Journal of Modern Education and Computer Science  
Finally we improve the recognition performance by combining with image pyramid and edge direction information.  ...  The aim of this study is to speed up the geometric hashing pattern recognition method for the purpose of real-time object detection applications.  ...  ACKNOWLEDGMENT Thanks to all members belonging to the Image Solution Group of Fast Corporation, Japan.  ... 
doi:10.5815/ijmecs.2011.03.01 fatcat:bxqsrpt5lbdfvc367jpez5l7ni

FixtureFinder

Vijay Srinivasan, John Stankovic, Kamin Whitehouse
2013 Proceedings of the 12th international conference on Information processing in sensor networks - IPSN '13  
Our results show that FixtureFinder is able to identify and differentiate major light and water fixtures in less than 10 days, including multiple copies of light bulbs and sinks that have identical power  ...  The monitoring of electrical and water fixtures in the home is being applied for a variety of "smart home" applications, such as recognizing activities of daily living (ADLs) or conserving energy or water  ...  Acknowledgment This work was supported, in part, by NSF grants CNS-1017363 and EFRI-1038271.  ... 
doi:10.1145/2461381.2461398 dblp:conf/ipsn/SrinivasanSW13 fatcat:lepqzecflzdrfa2dlcwm7xw2n4
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