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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

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Multi-patch convolution neural network for iris liveness detection

Multi-patch convolution neural network for iris liveness det...

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IEEE international conference on Biometrics: theory, Applications, and Systems (BTAS)

作者： Lingxiao He Haiqing Li Fei Liu Nianfeng Liu Zhenan Sun Zhaofeng He Center for Research on Intelligent Perception and Computing Chinese Academy of Sciences Beijing P.R. China

ISBN: (纸本)9781467397346

Attacking iris systems with fake iris patterns has become the largest security risk of iris recognition systems. therefore iris liveness detection which discriminate genuine or fake iris images is of significant importance to iris recognition systems. However, the state-of-the-art algorithms mainly rely on hand-crafted texture features which can only identify fake iris images with single pattern. this paper proposes a Multi-patch Convolution Neural Network (MCNN) that is capable of handling different types of fake iris images. MCNN directly learns the mapping function between raw pixels of the input iris patch and the labels. the outputs of each patch are fed into a decision layer which determines the final decision. Our proposed algorithm automatically learns the features to detect hybrid pattern of fake iris images rather than handcraft. the decision layer helps to improve the robustness and accuracy for iris liveness detection. Experimental results demonstrate an extremely higher accuracy of iris liveness detection than other state-of-the-art algorithms. the proposed MCNN remarkably achieve the best results with nearly 100% accuracy on ND-Contact and CAISA-Iris-Fake datasets.

关键词： Iris recognition Iris Algorithm design and analysis Feature extraction Lenses Convolution Neural networks

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Incremental learning versus batch learning for classification of user's behaviour in medical imaging 8

Incremental learning versus batch learning for classificatio...

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8th international conference on Health Informatics, HEALthINF 2015

作者： Viana-Ferreira, Carlos Matos, Sérgio Costa, Carlos Instituto de Engenharia Electrónica e Telemática de Aveiro Universidade de Aveiro Campus Universitário de Santiago Aveiro Portugal

ISBN: (纸本)9789897580680

Communication latency still hinders the adoption of Cloud computing paradigms in medical imaging environments where it could serve as a reliable technology to support repository outsourcing solutions or inter-institutional workflows, for instance. One way to overcome this is by implementing cache repositories and prefetching mechanisms. Nevertheless, such solutions are usually based on static rules that may inefficiently manage the cache storage capacity. For that reason, this paper compares a pattern recognition system using incremental learning versus batch learning, in order to assess which one could be more appropriately used in a medical imaging cache mechanism.

关键词： pattern recognition

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2015 8th international conference on Ubi-Media computing, UMEDIA 2015 - conference Proceeedings

2015 8th International Conference on Ubi-Media Computing, UM...

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8th international conference on Ubi-Media computing, UMEDIA 2015

ISBN: (纸本)9781467382700

the proceedings contain 72 papers. the topics discussed include: ultrafast pattern recognition and tracking in FLIR imagery;embodied cognition and gesture-based learning;real-time stereo matching for depth estimation using GPU;collecting field data in an environment combining APP and fusion tables;a mobile application for an ecological campus navigation system using augmented reality;intelligent evacuation system integrated with image recognition technology;performance improvement on duplicate address detection in IP mobility protocols;non-commutative path planning strategy;locality-aware P2P networks based on cloud-assistance;an intelligent classroom management system based on wireless sensor networks;a fuzzy-based dynamic channel allocation scheme in cognitive radio networks;and offline tracking system for deep sea going vessels using GPS and GPRS.

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proceedings - 2015 IEEE international conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE international conference on Social computing and Networking, SocialCom 2015, 5th IEEE international conference on Sustainable computing and Communications, SustainCom 2015, 2015 international conference on Big Data Intelligence and computing, DataCom 2015, 5th international Symposium on Cloud and Service computing, SC2 2015

Proceedings - 2015 IEEE International Conference on Smart Ci...

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IEEE international conference on Smart City, SmartCity 2015

ISBN: (纸本)9781509018932

the proceedings contain 195 papers. the topics discussed include: detecting pedestrians behavior in building based on Wi-Fi signals;e-health services for elderly care based on Google cloud messaging;on interesting place finding in social sensing: an emerging smart city application paradigm;collaborative representation-based robust face recognition by discriminative low-rank representation;a self-adaptive video dual watermarking based on the motion characteristic and geometric invariant for ubiquitous multimedia;the role of big data on smart grid transition;sensing information modeling for smart city;exploration of collective pattern to improve location prediction of mobile phone users;performance modeling of preemption-based packet scheduling for data plane in software defined networks;and aspect-oriented customization of the scheduling algorithms and the resource access protocols of a real-time operating system family.

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2015 8th international conference on Contemporary computing, IC3 2015

2015 8th International Conference on Contemporary Computing,...

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8th international conference on Contemporary computing, IC3 2015

ISBN: (纸本)9781467379489

the proceedings contain 101 papers. the topics discussed include: an efficient and modified median root prior based framework for PET/SPECT reconstruction algorithm;frequent block access pattern-based replication algorithm for cloud storage systems;gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain;task behaviour inputs to a heterogeneous multiprocessor scheduler;online anomaly detection via class-imbalance learning;extracting academic social networks among conference participants;automatic classification of frogs calls based on fusion of features and SVM;an efficient DCT based image watermarking scheme for protecting distribution rights;an image processing based method to identify and grade conjunctivitis infected eye according to its types and intensity;dimension reduction using spectral methods in fanny for fuzzy clustering of graphs;and hand written digit recognition system for South Indian languages using artificial neural networks.

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proceedings - 2015 IEEE international conference on Data Science and Data Intensive Systems;8th IEEE international conference Cyber, Physical and Social computing;11th IEEE international conference on Green computing and Communications and 8th IEEE international conference on Internet of things, DSDIS/CPSCom/GreenCom/ithings 2015

Proceedings - 2015 IEEE International Conference on Data Sci...

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2015 IEEE international conference on Data Science and Data Intensive Systems;8th IEEE international conference Cyber, Physical and Social computing;11th IEEE international conference on Green computing and Communications and 8th IEEE international conference on Internet of things, DSDIS/CPSCom/GreenCom/ithings 2015

ISBN: (纸本)9781509002146

the proceedings contain 111 papers. the topics discussed include: identification and validation of real-time health events through social media;active storage mechanism for cluster-wide RAID system;SMASH: a cloud-based architecture for big data processing and visualization of traffic data;sequential pattern mining system for analysis of programming learning history;a mixed and batching authentication protocol for grouped tags in mobile RFID system;scalable data representation in risk management information systems using an XQuery extension;operation-level performance control in the object store for distributed storage systems;exploiting collective spontaneous mobility to improve location prediction of mobile phone users;an event-based framework for the specification and runtime checking of timing constraints in wireless sensor and actuator networks;flow-control policies for wireless sequencer-based causal and total order communication;and malicious node traceback in opportunistic networks using Merkle trees.

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A Comparative Study of Local Detectors and Descriptors for Mobile Document Classification 13

A Comparative Study of Local Detectors and Descriptors for M...

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13th IAPR international conference on Document Analysis and recognition (ICDAR)

作者： Rusinol, Marcal Chazalon, Joseph Ogier, Jean-Marc Llados, Josep Univ Autonoma Barcelona Dept Ciencias Comp Comp Vis Ctr Edifici O Bellaterra 08193 Barcelona Spain Univ La Rochelle Lab L3i F-17042 La Rochelle 1 France

ISBN: (纸本)9781479918058

In this paper we conduct a comparative study of local key-point detectors and local descriptors for the specific task of mobile document classification. A classification architecture based on direct matching of local descriptors is used as baseline for the comparative study. A set of four different key-point detectors and four different local descriptors are tested in all the possible combinations. the experiments are conducted in a database consisting of 30 model documents acquired on 6 different backgrounds, totaling more than 36.000 test images.

关键词： document image processing image classification mobile computing pattern classification classification architecture direct matching local descriptors local key point detectors mobile document classification High definition video high definition video document image processing pattern recognition Image classification Mobile computing Subject Headings Descriptors detector

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proceedings - 2015 IEEE 8th international conference on Cloud computing, CLOUD 2015

Proceedings - 2015 IEEE 8th International Conference on Clou...

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8th IEEE international conference on Cloud computing, CLOUD 2015

ISBN: (纸本)9781467372879

the proceedings contain 159 papers. the topics discussed include: Femto Clouds: leveraging mobile devices to provide cloud service at the edge;towards automatic application migration to clouds;a pattern-based code transformation approach for cloud application migration;application migration effort in the cloud - the case of cloud platforms;on exploiting page sharing in a virtualised environment - an empirical study of virtualization versus lightweight containers;leveraging metadata in no SQL storage systems;data vaporizer - towards a configurable enterprise data storage framework in public cloud;from relations to multi-dimensional maps: towards an SQL-to-HBase transformation methodology;network-centric performance improvement for live VM migration;instrumentation and trace analysis for ad-hoc python workflows in cloud environments;a trust and reputation system for energy optimization in cloud data centers;and QoS prediction for the cloud service marketplace: a Grassmann manifold approach.

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Joint Encoding of Multi-scale LBP for Infrared Face recognition 8

Joint Encoding of Multi-scale LBP for Infrared Face Recognit...

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8th international conference on Genetic and Evolutionary computing (ICGEC)

作者： Xie, Zhihua Wang, Zhengzi Jiangxi Sci & Technol Normal Univ Key Lab Opt Elect & Commun Nanchang Jiangxi Peoples R China

ISBN: (纸本)9783319122854

Due to low resolutions of infrared face image, the local feature extraction is more appreciated for infrared face feature extraction. In the current LBP (local binary pattern) feature extraction on infrared face recognition, single scale is encoded, which consider limited local discriminative information. A new infrared face recognition method based on joint encoding of multi-scale LBP (JEMLBP) is proposed in this paper. To consider correlation in different micro-structures, co-occurrence matrix of multi-scale LBP codes is used to represent the infrared face. the experimental results show the recognition rates of infrared face recognition method based on JEMLBP can reach 91.2% under variable ambient temperatures, outperforms that of the classic method based on single scale LBP histogram.

关键词： Local Binary pattern infrared face recognition multi-scale joint encoding co-occurrence matrix

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Learning Non-Markovian Constraints for Handwriting recognition 13

Learning Non-Markovian Constraints for Handwriting Recogniti...

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13th IAPR international conference on Document Analysis and recognition (ICDAR)

作者： Kakisako, Ryosuke Uchida, Seiichi Volkmar, Frinken Kyushu Univ Fukuoka 8190395 Japan

ISBN: (纸本)9781479918058

Recently, the horizon of dynamic time warping (DTW) for matching two sequential patterns has been extended to deal with non-Markovian constraints. the non-Markovian constraints regulate the matching in a wider scale, whereas Markovian constraints regulate the matching only locally. the global optimization of the non-Markovian DTW is proved to be solvable in polynomial time by a graph cut algorithm. the main contribution of this paper is to reveal what is the best constraint for handwriting recognition by using the non-Markovian DTW. the result showed that the best constraint is not a Markovian but a totally non-Markovian constraint that regulates the matching between very distant points;that is, it was proved that the conventional Markovian DTW has a clear limitation and the non-Markovian DTW should be more focused in future research.

关键词： Markov processes computational complexity graph theory handwriting recognition learning (artificial intelligence) dynamic time warping horizon graph cut algorithm nonMarkovian DTW horizon nonMarkovian constraint learning polynomial time solvability sequential pattern matching Accuracy Decoding Optical computing handwriting recognition Optical computing Markov chain Graph theory DECODING complexity classes Graph algorithms

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