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CyberMate ∼ Artificial Intelligent business help desk assistant with instance messaging services

CyberMate ∼ Artificial Intelligent business help desk assis...

引用

2011 6th international conference on Industrial and Information Systems, ICIIS 2011

作者： Weerawarna, N.T. Haththella, H.M.H.R.B. Ambadeniya, A.R.G.K.B.R. Chandrasiri, L.H.S.S. Bandara, M.S.L. thelijjagoda, S.S. Sri Lanka Institute of Information Technology New Kandy Road Malabe Sri Lanka Information Technology Instructor Lanka Institute of Information Technology New Kandy Road Malabe Sri Lanka

ISBN: (纸本)9781457700354

Most of the existing Artificial Intelligent software agents are based on a single specific purpose whereas CyberMate is a multipurpose AI agent based on pattern recognition with Chatterbot approach to interact with remote users. the system introduces a new technology to automate customer care services by hosting business information and technical support to address inquiries by the end users. CyberMate allows remote end users to connect via Instant Messaging services and get requested information using English, Tamil, Sinhala language or any natural language. the system can act as a dedicated AI agent between client and the service hosting party that can provide information via instance messages. this is a much faster and familiar solution than hosting a Frequently Asked Questions (FAQ) page as a part of a business website and even the system can reduces the work load of the customer care service waiting queue, which leads to decrease the customer's dissatisfaction and make service accessible from any device which has Internet connectivity. the business information can be easily modeled into the CyberMate system using the newly introduced CyberMate Scripting Language (CSL) and its own development environment (CSL-IDE). © 2011 IEEE.

关键词： pattern recognition

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Granular-based partial periodic pattern discovery over time series data

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6th international conference on Rough Sets and Knowledge Technology, RSKT 2011

作者： Luo, Aibao Jia, Xiuyi Shang, Lin Gao, Yang Yang, Yubin State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu 210093 China

ISBN: (纸本)9783642244247

Periodicity analysis of the time series is getting more and more significant. there are many contributions for periodic pattern discovery, however, few laid emphasis on the further usage. In the paper, we propose a granular-based partial periodic pattern detecting method over time series data. this method can detect all patterns of every possible periodicity without any prior knowledge of the data sets, by setting different granularity and minimum support threshold. the results that it learned can be used in outlier or change point detection in time series data analysis. the experiment results show its effectiveness. © 2011 Springer-Verlag.

关键词： Time series

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Finger Vein pattern Extraction Algorithm

Finger Vein Pattern Extraction Algorithm

引用

6th international conference on Hybrid Artificial Intelligence Systems (HAIS)

作者： Walus, Michal Kosmala, Jan Saeed, Khalid AGH Univ Sci & Technol Fac Phys & Appl Comp Sci PL-30059 Krakow Poland

ISBN: (纸本)9783642212185

In this paper the outline of complete vein pattern recognition system is introduced. An innovative method for finger vein image binarization is given in detail. the main purposes in the developed method are: lower time consuming comparing to other methods, simplicity and promising results achievement in spite of working with low contrast images. Both the algorithm and the experimental results of the pattern extraction are presented in detail. the achieved results are compared with other binarization techniques to show the superiority of the worked out algorithm over the others. the algorithm has proved to be of less computational complexity and easier implementation.

关键词： Finger-vein images vein position-gray-profile binarization vein-extract algorithm thresholding

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6th international conference on Foundations of Augmented Cognition, FAC 2011, held as part of the 14th international conference on Human-Computer Interaction, HCI international 2011

6th International Conference on Foundations of Augmented Cog...

引用

6th international conference on Foundations of Augmented Cognition, FAC 2011, held as part of the 14th international conference on Human-Computer Interaction, HCI international 2011

ISBN: (纸本)9783642218514

the proceedings contain 75 papers. the special focus in this conference is on Foundations of Augmented Cognition. the topics include: Advances and challenges in signal analysis for single trial P300-BCI;characterizing the performance limits of high speed image triage using bayesian search theory;facial recognition: An enabling technology for augmented cognition applications;analysis of multiple physiological sensor data;Exploring new methodologies for the analysis of functional magnetic resonance imaging (fMRI) following closed-head injuries;EEG knows best: Predicting future performance problems for targeted training;computational cultural neuroscience: Implications for augmented cognition;enhancing team performance using neurophysiologic synchronies in a virtual training environment;theoretical transpositions in brain function and the underpinnings of augmented cognition;Implementation of fNIRS for monitoring levels of expertise and mental workload;non-invasive functional brain biomarkers for cognitive-motor performance assessment: Towards new brain monitoring applications;Estimating the level of motion sickness based on EEG spectra;Combining fNIRS and EEG to improve motor cortex activity classification during an imagined movement-based task;the frustration status and noise proof feature during perception of the auditory images;cultural neuroscience and individual differences: Implications for augmented cognition;towards a software toolkit for neurophysiological data collection and analysis;From sound to meaning: Changes in EEG source-localized brain activity with foreign-language training;analyzing neural correlates of attentional changes during the exposure to virtual environments: Application of transcranial doppler monitoring;Neuroergonomic assessment of simulator fidelity in an aviation centric live virtual constructive (LVC) application;challenges and solutions with augmented cognition technologies: Precursor issues to successful integration.

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Interpreting 3D Faces for Augmented Human-Computer Interaction

Interpreting 3D Faces for Augmented Human-Computer Interacti...

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6th international conference on Universal Access in Human-Computer Interaction (UAHCI)/14th international conference on Human-Computer Interaction (HCI)

作者： Cadoni, Marinella Grosso, Enrico Lagorio, Andrea Tistarelli, Massimo Univ Sassari Comp Vis Lab Tramariglio Alghero Italy

ISBN: (纸本)9783642216626;9783642216633

Human-machine interaction requires the ability to analyze and discern human faces. Due to the nature of the 3D to 2D projection, the recognition of human faces from 2D images, in presence of pose and illumination variations, is intrinsically an ill-posed problem. the direct measurement of the shape for the face surface is now a feasible solution to overcome this problem and make it well-posed. this paper proposes a completely automatic algorithm for 3D face registration and matching based on the extraction of stable 3D facial features characterizing the face and the subsequent construction of a signature manifold. the facial features are extracted by performing a continuous-to-discrete scale-space analysis. Registration is driven from the matching of triplets of feature points and the registration error is computed as shape matching score. A major advantage of the proposed method is that no data pre-processing is required. Despite of the high dimensionality of the data (sets of 3D points, possibly with the associate texture), the signature and hence the template generated is very small. therefore, the management of the biometric data associated to the user data, not only is very robust to environmental changes, but it is also very compact. the method has been tested against the Bosphorus 3D face database and the performances compared to the ICP baseline algorithm. Even in presence of noise in the data, the algorithm proved to be very robust and reported identification performances in line with the current state of the art.

关键词： Face recognition 3D faces pattern recognition Scale-space theory Geometric invariants

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Ethnic Classification Based on Iris Images

Ethnic Classification Based on Iris Images

引用

6th Chinese conference on Biometric recognition (CCBR)

作者： Zhang, Hui Sun, Zhenan Tan, Tieniu Wang, Jianyu Chinese Acad Sci Shanghai Inst Tech Phys Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China

ISBN: (纸本)9783642254482

Iris texture is commonly thought to be highly discriminative between eyes and stable over individual lifetime, which makes iris particularly suitable for personal identification. However, iris texture also contains more information related to genes, which has been demonstrated by successful use of ethnic and gender classification based on iris. In this paper, we propose a novel ethnic classification method based on supervised codebook optimizing and Locality-constrained Linear Coding (LLC). the optimized codebook is composed of codes which are distinctive or mutual. Iris images from Asian and non-Asian are classified into two classes in experiments. Extensive experimental results show that the proposed method achieves encouraging classification rate and largely improves the ethnic classification performance comparing to existing algorithms.

关键词： Iris recognition Ethnic classification Bag-of-Words model Codebook optimizing

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Locally adaptive shearlet denoising based on bayesian MAP estimate

Locally adaptive shearlet denoising based on bayesian MAP es...

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international conference on Image and Graphics

作者： Dan, Zhiping Chen, Xi Gan, Haitao Gao, Changxin Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Institute of Intelligent Vision and Image Information China Three Gorges University Yichang China

ISBN: (纸本)9780769545417

A locally adaptive Bayesian estimate for image denoising is proposed by exploiting the correlation among image shearlet coefficients in a sub-band. the Laplacian distribution can model a wide range of process, from heavy-tailed to less heavy-tailed processes. this paper deduces Laplacian prior distribution based the MAP estimate formula and sub-band adaptive threshold. Finally, a simulation is carried out to show the effectiveness of the new estimate. Experiment results demonstrate that compared with classical sub-band adaptive algorithms, the new denoising method has significantly increased peak signal-to-noise ratio (PSNR) and improved the quality of subjective visual effect. © 2011 IEEE.

关键词： Adaptive algorithms

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Metrics for objective evaluation of background subtraction algorithms

Metrics for objective evaluation of background subtraction a...

引用

international conference on Image and Graphics

作者： Liu, Leyuan Sang, Nong Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769545417

Although a large number of background subtraction (BS) algorithms have been proposed, relevant objective metrics for evaluating these algorithms are still lacking. In this paper, empirical discrepancy metrics, which quantify the spatial accuracy and temporal stability of estimated masks by taking into account the potential inaccuracy of reference masks, the location of the pixel errors relative to the border of reference masks as well as the type of errors, are presented for evaluating the performance of BS algorithms. To validate the proposed metrics, they are applied to tune the optimal parameters of LBP-based background subtraction algorithm, and the experimental results confirm the efficiency of them. © 2011 IEEE.

关键词： Accuracy Algorithm design and analysis Measurement Numerical stability Shape Stability criteria Video sequences background subtraction empirical discrepancy metrics objective evaluation spatial accuracy temporal stability

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Video reshuffling with narratives toward effective video browsing

Video reshuffling with narratives toward effective video bro...

引用

international conference on Image and Graphics

作者： Fu, Wei Wang, Jinqiao Zhu, Xiaobin Lu, Hanqing Ma, Songde National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545417

With the rapid increasing of video cameras, large amount of video data everyday brings the problem of video storage and browsing. In this paper, we propose a novel approach to video reshuffling with a group of static images to effectively summarize the video content. Each static image called narrative is generated to depict the behavior of a specific object or a special event. Firstly background subtraction and object tracking are employed to extract the segmentations of moving objects and corresponding trajectories. After that, we apply three sampling rules to optimized select representative object samples from the spatial-temporal object tube and stitch them to the background image by Poisson blending. Experimental results show the promise of the proposed approach. © 2011 IEEE.

关键词： Video cameras

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Graph partition based bundle adjustment for structured dataset

Graph partition based bundle adjustment for structured datas...

引用

international conference on Image and Graphics

作者： Xie, Yuanfan Fan, Lixin Wu, Yihong National Laboratory of Pattern Recognition Chinese Academy of Sciences Institute of Automation Beijing 100190 China Nokia Research Center Tampere Finland

ISBN: (纸本)9780769545417

Bundle adjustment has been considered as one of the most important components in many visual tasks such as 3D reconstruction, photogrammetry, visual SLAM, etc. Unfortunately, both time and space complexity of this adjustment prevent it from being directly applied to large scale datasets. this paper presents a submapping method, which partitions a large scale dataset into disjointed subsets and adjusts them one by one or in parallel. Pair-wise submaps are then "stitched" together by applying a similarity transformation. Both simulations and real applications show that our method scales well. Also some basic questions of this submapping method including map size, map fusion and global consistency are discussed. © 2011 IEEE.

关键词： Vision

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