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NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image
2020
BioMed Research International
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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
2016
Sensors
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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
1997
Personal Relationships
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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
2018
IEEE Transactions on Learning Technologies
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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
1991
IEEE Transactions on Systems, Man and Cybernetics
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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
2017
Journal of Electrical and Computer Engineering
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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
2019
IEEE Robotics and Automation Letters
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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
2008
2008 IEEE International Conference on Data Mining Workshops
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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]
1996
IFIP Advances in Information and Communication Technology
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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
2013
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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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]
2004
Proceedings of the 34th International MATADOR Conference
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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
2013
Procedia Technology - Elsevier
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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
2018
International Journal of Intelligent Information Systems
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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
2019
Mathematical Problems in Engineering
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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
2007
IEEE Software
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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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