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5th IEEE international conference on Software Engineering and Service Science (ICSESS)

作者： Meng, Xianjing Xing, Tao Xing, Yanqiu Wang, Haoyang Northeast Forestry Univ Coll Engn & Technol Harbin 150040 Heilongjiang Peoples R China

ISBN: (纸本)9781479932795

In order to detect the locations of timber holes defect, a new method based on fuzzy clustering analysis and acoustic non-destructive testing of wood was proposed. there were three kinds of timber samples were taken in the research, and one with a hole at a certain end of it, one with a hole at the middle of it and the other one without a hole. Acoustic signals were collected with hammering method, and time-frequency feature vectors were extracted as the sample data. Cluster analysis was made on the training samples using fuzzy similar matrix based on the transitive closure, after which different classes of fuzzy patterns were created. the test samples were then identified by "maximum membership degree" principle. the results showed that the method was able to detect the position of hole defects in Acer mono wood effectively and accurately. the detection accuracy for samples with an end hole was 84%, for samples with a middle hole was 92% and for samples without a hole was 94%.

关键词： fuzzy pattern recognition wood acoustic nondestructive testing fuzzy cluster

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Object Categorization Using Co-occurrence and Spatial Relationship with Human Interaction

Object Categorization Using Co-occurrence and Spatial Relati...

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5th international conference on Information Science and Applications (ICISA)

作者： Wisuttirungseurai, Prapatsorn Kawewong, Aram Patanukhom, Karn Chiang Mai Univ Dept Comp Engn Visual Intelligence & Pattern Understanding Lab Chiang Mai 50000 Thailand

ISBN: (纸本)9781479944415

the human interaction based framework for manipulable object categorization is proposed in this paper. In the proposed framework, co-occurrence and spatial relationship based features are developed to improve the categorization problem of the objects with high intra-class variation, deformable objects or the objects that are occluded. the descriptor in this framework is based on a co-occurrence of objects and hand poses, a relative position between objects and face, an object motion, and an object appearance. For co-occurrence based features, hand pose prototypes are generated by using K-means clustering. the co-occurrence vectors between objects and hand poses are observed from image frames and used as features. For spatial relationship based features, the histogram of relative positions between object and face and histogram of object motion vectors are applied. the evaluation is performed on six classes of objects in 180 videos. the proposed framework can improve the recognition rate by 30.1% in comparison with the object appearance baseline.

关键词： computer vision object categorization hand posture co-occurrence spatial relationship

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第五届模式识别应用和方法国际会议（英文）

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智能系统学报 2015年第5期10卷 754-754页

24-26 February,2016,Rome,Italy the international conference on pattern recognition Applications and Methods would like to become a major point of contact between researchers,engineers and practitioners on the areas of pattern recognition,both from theoretical and application *** describing applications of pattern recognition techniques to real-world problems,interdisciplinary research,experimental and/or theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged.

关键词：人工智能智能系统专家系统神经网络 “第五届模式识别应用和方法国际会议”

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Performance Evaluation of Various Feature Extraction Techniques With Special Reference to Hand Gesture recognition

Performance Evaluation of Various Feature Extraction Techniq...

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5th international conference on Signal and Image Processing (ICSIP)

作者： Patil, Anjali R. Subbaraman, S. DKTEsTextile & Engn Inst Dept Elect Ichalkaranji Maharashtra India Annasaheb Dange Coll Engn & Technol E&TC Dept Ashta Maharashtra India

ISBN: (纸本)9780769551005

Extraction of significant and dominant features from possibly large set of database is a crucial task. the Performance of feature extraction technique depends on the dimensions of generated features and reconstruction. In this paper we provide a comparative study of different feature extraction techniques like Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Principle Component Analysis (PCA), Local Binary pattern (LBP), DCT+Gabor, DWT+Gabor etc. and each technique is compared with each other based on Sebastian Marcel static hand postures database[24] consisting of six postures. We have used Neural Network to compare the performances of feature extraction techniques based on recognition Accuracy (RA), False Acceptance Rate (FAR), False recognition Rate (FRR) and also dimensions. We found that fusion of LBP and Gabor, DWT and Gabor provides good results.

关键词： Hand postures recognition accuracy Discrete Cosine Transform Gabor features Local Binary pattern Neural Network etc

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Biomechanical study of foot force pattern in Hallux Valgus (HV) patients

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5th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2014 - Held as Part of 16th international conference on Human-Computer Interaction, HCI international 2014

作者： Eshraghi, Saba Esat, Ibrahim School of Engineering and Design Brunel University of London United Kingdom

ISBN: (纸本)9783319077246

Background: Hallux valgus is the angulation of the big toe of more than 15 degrees. Many people during their lives are challenged with this condition. the occurrence is 3 times more in women to men. However one of the causes of the condition is congenital but the other important factor is wearing narrow toe box and high heel shoes. there are some devices measuring the foot kinematic or sole pressure for identifying such condition but as there are lots of variations in foot kinematics and pressure the identification of the disease becomes more challenging. Many previous works are published regarding to foot sole pressure pattern but still early recognition of the condition is needed. Method: To see the existence of force pattern out of gait experiments, Rs-Scan device used to take the kinematic data of the one complete foot contact. 10 trials were conducted of each volunteer with the full right foot contact with the pressure mat. 3 valid trials have been chosen for final analyses. With this method the load/pressure measurement under the 10 anatomical regions of the foot have been recorded and used to recognise people with and without deformity. Furthermore, Motion Capture cameras were used to capture the first and the second metatarsal movements in HV and Non HV volunteers to see whether there is a joint laxity of the metatarsals in HV patients. Results: It was observed that the load pattern in forefoot in people with HV was significantly different compared to non HV *** independent sample T-Test done and the statistical difference less than 0.05 observed in Toe1,Metatarsal 1,Metatarsal 2, Metatarsal 3, Metatarsal 4 and Metatarsal 5. So just there was no difference load pattern on the Toe 2-5. Hence, the maximum load was on the 2nd and 3rd metatarsal heads in people with HV which is already published by previous authors but the walking speed showed a significant effect on the force variations in both group. the relative movements captured by 7 cameras in Mo

关键词： Cameras

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Illumination-robust local pattern descriptor for face recognition

Illumination-robust local pattern descriptor for face recogn...

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5th FTRA international conference on Computer Science and its Applications, CSA 2013

作者： Kim, Dong-Ju Lee, Sang-Heon Shon, Myoung-Kyu Kim, Hyunduk Ryu, Nuri 50-1 Sang-Ri Hyeongpung-Myeon Dalseong-Gun Daegu 711-873 Korea Republic of

ISBN: (纸本)9783642416736

In this paper, we propose a simple descriptor called an extended center-symmetric pattern (ECSP) for illumination-robust face recognition. the ECSP operator encodes the texture information of a local face region by emphasizing diagonal components of a previous center-symmetric local binary pattern (CS-LBP). Here, the diagonal components are emphasized because facial textures along the diagonal direction contain much more information than those of other directions. the facial texture information of the ECSP operator is then used as the input image of an image covariance-based feature extraction algorithm. Performance evaluation of the proposed approach was carried out using various binary pattern operators and recognition algorithms on the extended Yale B database. the experimental results demonstrated that the proposed approach achieved better recognition accuracy than other approaches, and we confirmed that the proposed approach is effective against illumination variation. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Face recognition

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the impact of near domain transfer on biomedical named entity recognition 5

The impact of near domain transfer on biomedical named entit...

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5th international Workshop on Health Text Mining and Information Analysis, Louhi 2014 at the 14th conference of the European Chapter of the Association for Computational Linguistics, EACL 2014

作者： Collier, Nigel Paster, Ferdinand Tran, Mai-Vu European Bioinformatics Institute Hinxton Cambridge United Kingdom National Institute of Informatics Tokyo Japan University of Applied Sciences Upper Austria Hagenberg Campus Austria University of Engineering and Technology VNU Hanoi Viet Nam

ISBN: (纸本)9781937284909

Current research in fully supervised biomedical named entity recognition (bioNER) is often conducted in a setting of low sample sizes. Whilst experimental results show strong performance in-domain it has been recognised that quality suffers when models are applied to heterogeneous text collections. However the causal factors have until now been uncertain. In this paper we describe a controlled experiment into near domain bias for two Medline corpora on hereditary diseases. Five strategies are employed for mitigating the impact of near domain transference including simple transference, pooling, stacking, class re-labeling and feature augmentation. We measure their effect on f-score performance against an in domain baseline. Stacking and feature augmentation mitigate f-score loss but do not necessarily result in superior performance except for selected classes. Simple pooling of data across domains failed to exploit size effects for most classes. We conclude that we can expect lower performance and higher annotation costs if we do not adequately compensate for the distributional dissimilarities of domains during learning. © 2014 Association for Computational Linguistics

关键词： Natural language processing systems

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Platform Image Processing Applied to the Study of Retinal Vessels 8

Platform Image Processing Applied to the Study of Retinal Ve...

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8th international conference on Practical Applications of Computational Biology & bioinformatics (PACBB)

作者： Chamoso, Pablo Garcia-Ortiz, Luis Recio-Rodriguez, Jose I. Gomez-Marcos, Manuel A. Univ Salamanca Comp & Automat Dept E-37008 Salamanca Spain IBSAL Sacyl Primary Care Res Unit La Alamedilla Salamanca Spain

ISBN: (纸本)9783319075815;9783319075808

Recent studies have found retinal vessel caliber to be related to the risk of hypertension, left ventricular hypertrophy, metabolic syndrome, stroke and others coronary artery diseases. the vascular system in the human retina is easily perceived in its natural living state by the use of a retinal camera. Nowadays, there is general experimental agreement on the analysis of the patterns of the retinal blood vessels in the normal human retina. the development of automated tools designed to improve performance and decrease interobserver variability, therefore, appears necessary. this paper presents a study focused on developing a technological platform specialized in assessing retinal vessel caliber and describing the relationship of the results obtained to cardiovascular risk.

关键词： arteriolar-venular ratio arterial stiffness cardiovascular disease AI algorithms pattern recognition image analysis expert knowledge

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A novel approach to detect fours in cricket videos 5

A novel approach to detect fours in cricket videos

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5th IEEE international conference on Computer and Communication Technology, ICCCT 2014

作者： Dixit, Mridul Bhatnagar, Charul Dept. of CEA GLA Univerty Mathura India

ISBN: (纸本)9781479967575

this paper proposes a novel approach to detect or identify fours in cricket videos. the problem in automatic four detection arises because ball detection and boundary detection is not a very easy task. Problems in ball detection arises because the ball could get occluded by the players, the speed of the ball usually very high and due to the high speed of the ball, its shape and size may get distorted, several cameras captures one complete shot. Problem in boundary detection arises as there can be multiple straight lines in the image so it is hard to choose the correct boundary line. the Proposed algorithm consists of three steps. We identify the boundary in the video frames. Next we try to identify ball in the video frames in which the boundary has been detected. Once both are detected in a frame, we compute the distance between the ball and the boundary. If the distance is less than the threshold then there will be four else not. the proposed approach provides satisfactory results for identifying four in the cricket. Fifteen video shots from cricket are used to evaluate our algorithm. © 2014 IEEE.

关键词： pattern recognition

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5th international conference on Optimization and Control with Applications, OCA5 2012

5th International Conference on Optimization and Control wit...

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5th international conference on Optimization and Control with Applications, OCA5 2012

ISBN: (纸本)9783662434031

the proceedings contain 17 papers. the special focus in this conference is on Optimization and control theory and Techniques and applications. the topics include: Some recent developments in systems and control theory on infinite dimensional banach spaces;some recent developments in systems and control theory on infinite dimensional banach space;a class of history-dependent inclusions with applications to contact problems;on the number of solutions generated by the simplex method for LP;use of approximations of hamilton-jacobi-bellman inequality for solving periodic optimization problems;on proper efficiency in multiobjective semi-infinite optimization;using penalty in mathematical decomposition for production-planning to accommodate clearing function constraints of capacity;minimum time synchronization of chaotic systems via numerical optimal control techniques;the uncorrelated and discriminant colour space for facial expression recognition;admissibility analyses for dynamic input-output economic models with multiple delays;content based image retrieval using local directional pattern and color histogram;time-minimal orbital transfers to temporarily-captured natural earth satellites;a chaotic particle swarm optimization exploiting snap-back repellers of a perturbation-based system and modeling and analysis of the cyber infrastructure for vehicle route optimization.

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