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NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image

Zhou Tao, Huo Bingqiang, Lu Huiling, Yang Zaoli, Shi Hongbin, Lin Gu
2020 BioMed Research International  
representation (NSCR) is used to represent the feature vector and solve the coding coefficient matrix; fourthly, the residual similarity is used for classification.  ...  pretrained DenseNet model using transfer learning; secondly, training DenseNet using CT images to extract feature vectors for the full connectivity layer; thirdly, a nonnegative, sparse, and collaborative  ...  Not surprisingly, under the same network model, the nonnegative, sparse, and collaborative representation classification algorithm NSCR has better classification accuracy, which better solves the optimization  ... 
doi:10.1155/2020/6636321 pmid:33490248 pmcid:PMC7787714 fatcat:zjiaszcqd5dk5acw6de3rx7kde

Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding

Chunwei Yang, Huaping Liu, Shicheng Wang, Shouyi Liao
2016 Sensors  
First, covd is introduced in the feature extraction process and, then, is transformed to a Euclidean feature by a supervised collaborative kernel coding model.  ...  This paper develops a supervised collaborative kernel coding method based on a covariance descriptor (covd) for scene-level geographic image classification.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2016, 16, 392  ... 
doi:10.3390/s16030392 pmid:26999150 pmcid:PMC4813967 fatcat:ttbsr7ubw5extmhc7shd5gkekm

Attachment styles, shame, guilt, and collaborative problem-solving orientations

FREDERICK G. LOPEZ, MARK R. GOVER, JENNIE LESKELA, ERIC M. SAUER, LISA SCHIRMER, JAMES WYSSMANN
1997 Personal Relationships  
Controlling for respondcnts' dating staius, results indicated that participants' attachment styles were significantly related to both shame-proncness and collaborative problem-solving, Preoccupied and  ...  Finally, respondents' guilt and shamc scores partly mediated observed relations between adult attachment stylcs and collaborative problem-solving oricntations.  ...  Given the pattern of subscale loadings, the three factors were labeled, respectively, "Collaboration," "Conflict," and "Conflict Avoidance," and factor scores for each participant were computed and used  ... 
doi:10.1111/j.1475-6811.1997.tb00138.x fatcat:d32p4stqorgilopa4gcj76woca

Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration

Sree Aurovindh Viswanathan, Kurt VanLehn
2018 IEEE Transactions on Learning Technologies  
This thesis is an initial test of the hypothesis that superficial measures suffice for measuring collaboration among pairs of students solving complex math problems, where the degree of collaboration is  ...  Thousands of different features were defined, and then extracted computationally from the audio and log data.  ...  A partial subset of scroll and log features can be utilized for classification of levels of collaboration depending on the task at hand.  ... 
doi:10.1109/tlt.2017.2704099 fatcat:lx737iin7vfzri2sgxiep7p4nm

Supporting conflict resolution in cooperative design systems

M. Klein
1991 IEEE Transactions on Systems, Man and Cybernetics  
How this model is being extended to support and learn from collaboration of human design agents is also discussed.  ...  This paper describes this conflict resolution model and provides examples of its operation from an implemented cooperative design system for local area network design that uses machinebased design agents  ...  How our model is being extended to support and learn from human collaboration is discussed next.  ... 
doi:10.1109/21.135683 fatcat:mwgeff2mkrdmjnq5pzpwljnf6m

Improved Collaborative Representation Classifier Based on l2-Regularized for Human Action Recognition

Shirui Huo, Tianrui Hu, Ce Li
2017 Journal of Electrical and Computer Engineering  
investigation into ICRC shows that it obtains a final classification by computing the likelihood for each class.  ...  Projecting depth images onto three depth motion maps (DMMs) and extracting deep convolutional neural network (DCNN) features are discriminant descriptor features to characterize the spatiotemporal information  ...  [14] also proposed a method to preserve the 1graph for image classification by using a subspace to solve misalignment problems in image classification task.  ... 
doi:10.1155/2017/8191537 fatcat:z7tg3adle5dbhgz2za3aaeh6ra

Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer

Ayse Kucukyilmaz, Illimar Issak
2019 IEEE Robotics and Automation Letters  
In this study, we propose a sliding-window approach for feature extraction and demonstrate the online classification methodology to identify interaction patterns.  ...  We evaluate our approach using 1) a support vector machine classifier (SVMc) and 2) a Gaussian Process classifier (GPc) for multi-class classification, and achieve over 80% accuracy with both classifiers  ...  In [3] , we had observed that using power or force-related features could not solve the confusion between C2 and C5.  ... 
doi:10.1109/lra.2019.2945261 fatcat:juhvkg6o6ze35cfbrju35s72zu

Semi-supervised Collaborative Clustering with Partial Background Knowledge

Germain Forestier, Cédric Wemmert, Pierre Gançarski
2008 2008 IEEE International Conference on Data Mining Workshops  
In this paper we present a new algorithm for semisupervised clustering. We assume to have a small set of labeled samples and we use it in a clustering algorithm to discover relevant patterns.  ...  Then, we study the case where the user is able to produce few samples for some classes but not for each class of the dataset.  ...  This classification function is a preditive model used to find the class of new available patterns.  ... 
doi:10.1109/icdmw.2008.116 dblp:conf/icdm/ForestierWG08 fatcat:tjq5rxvvkvbp7lu4app4rn6kxe

Collaborative Product Development in CAD and CAPP [chapter]

O. W. Salomons, J. M. Kuipers, J. de Graaff, F. van Slooten, E. J. A. M. van Houten, H. J. J. Kals
1996 IFIP Advances in Information and Communication Technology  
This paper addresses collaborative product development, focusing on computer support of collaboration between users of CAD systems alone, between users of CAPP systems alone and between users of both CAD  ...  A prototype implementation restricted to a re-design support oriented CAD system supporting both conflict based and voluntary communication is presented.  ...  Figure 4 presents a functional model for collaborative product development for one project and is a refinement of figure 3.  ... 
doi:10.1007/978-0-387-34930-5_5 fatcat:wdpi2x7ryvbehlrobex3j4nygu

Multi-user variability configuration: A game theoretic approach

Jesus Garcia-Galan, Pablo Trinidad, Antonio Ruiz-Cortes
2013 2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)  
We focus on cooperative game theory to propose and automate a tradeoff-based bargaining approach, as a way to solve the conflicts and maximize user satisfaction at the same time.  ...  Game theory is a well-known discipline which analyzes conflicts and cooperation among intelligent rational decisionmakers.  ...  ACKNOWLEDGEMENTS This work was partially supported by the European Commission (FEDER), and the Spanish and the Andalusian R&D programmes (grants TIN2012-32273 (TAPAS) and TIC-5906 (THEOS)).  ... 
doi:10.1109/ase.2013.6693115 dblp:conf/kbse/Garcia-GalanTC13 fatcat:oxq4anmn6jexrpxrebd6ds66qi

A Web-based Collaborative Feature Modeling System Framework [chapter]

S.-H Tang, Y.-S Ma, G. Chen
2004 Proceedings of the 34th International MATADOR Conference  
The generic feature representation and geometrical data representation in database are given. Mechanisms for feature validation are explained.  ...  In this paper, a web-based collaborative feature modeling system framework is proposed. To integrate CAx applications, a four-layer information model is proposed.  ...  EPM describes information across applications, and contains the domain classification ontology and metadata; the detailed high level feature objects are organized by different sub-models in the application  ... 
doi:10.1007/978-1-4471-0647-0_5 fatcat:n6li3yr545fsdel5vdibad52hy

Putting "Human Crowds" in the Loop of Bibliography Evaluation: A Collaborative Working Environment for CSCW Publications

António Correia, Jorge Santos, Diogo Azevedo, Hugo Paredes, Benjamim Fonseca
2013 Procedia Technology - Elsevier  
Existing mechanisms are inefficient for a single hu a large number of publications. This time-consuming and effort grounded on scientific metrics and theoretical foun representations.  ...  self-organizing bibliographic information system for ata mean, and how they can be best interpreted through a division scientists.  ...  the FCT -Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project «FCOMP -01-0124-FEDER-022701».  ... 
doi:10.1016/j.protcy.2013.12.064 fatcat:3eduoyuiejdczihyufwijvmqai

Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning

Zheng-ping Hu
2018 International Journal of Intelligent Information Systems  
The kernel collaborative representation is used to realize the inter class competition classification.  ...  Then, based on the adaptive class dictionary, the kernel collaborative representation is used to realize the inter class competition classification.  ...  Dong Wang et al. proposed the Kernel Collaborative Representation (KCR) [19] to select face function and combine Hamming Kernel and LBP features for face recognition, and the experimental results show  ... 
doi:10.11648/j.ijiis.20180702.11 fatcat:47xhsyin3zb6bhu32dnhm6l4fi

Multiagent System for Mutual Collaboration Classification for Cancer Detection

Mais Haj Qasem, Amjad Hudaib, Nadim Obeid
2019 Mathematical Problems in Engineering  
Hence, this study developed a novel multiagent model for distributed classification tasks in cancer detection with the collaboration of several hospitals worldwide using different classifier algorithms  ...  A MAS model state and behavior and communication are then developed to facilitate information sharing among agents.  ...  Subsequently, the proposed system for solving the collaborative classification task is established on the basis of MAS, DM, and DDM. e proposed system is compared with the noncommunicated classification  ... 
doi:10.1155/2019/2127316 fatcat:nlp6l5qgp5hgpdiowzbmaujl5m

Wiki-Based Stakeholder Participation in Requirements Engineering

Bjorn Decker, Eric Ras, Jorg Rech, Pascal Jaubert, Marco Rieth
2007 IEEE Software  
Furthermore, we thank the reviewers and editors of this special issue for providing us valuable suggestions for improving this article.  ...  Acknowledgments We thank Michael Eisenbarth for sharing his requirements engineering views.  ...  status, and ■ makes it easier to detect and solve conflicts and misunderstandings.  ... 
doi:10.1109/ms.2007.60 fatcat:oulik2xa7fdrtlz2dpwx5p3gbu
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