Fine-Grained Controllable Delegation Authorization Model Based on Trustworthiness

2007 ◽  
Vol 18 (8) ◽  
pp. 2002 ◽  
Author(s):  
Zheng-De ZHAI
Keyword(s):  
Fine Grained ◽  
Model Based ◽  
Authorization Model

Designing A Healthcare Authorization Model Based On Cloud Authentication

2014 ◽  
Vol 20 (3) ◽  
pp. 365-379 ◽  
Author(s):  
Chin-Ling Chen ◽  
Tsai-Tung Yang ◽  
Fang-Yie Leu ◽  
Yi-Li Huang
Keyword(s):  
Model Based ◽  
Authorization Model

scholarly journals Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yongyi Li ◽  
Shiqi Wang ◽  
Shuang Dong ◽  
Xueling Lv ◽  
Changzhi Lv ◽  
...  
Keyword(s):  
Local Features ◽  
Attention Mechanism ◽  
Experimental Results ◽  
Original Network ◽  
Fine Grained ◽  
Backbone Network ◽  
Model Based ◽  
Local Branch ◽  
Feature Expression ◽  
Global And Local

At present, person reidentification based on attention mechanism has attracted many scholars’ interests. Although attention module can improve the representation ability and reidentification accuracy of Re-ID model to a certain extent, it depends on the coupling of attention module and original network. In this paper, a person reidentification model that combines multiple attentions and multiscale residuals is proposed. The model introduces combined attention fusion module and multiscale residual fusion module in the backbone network ResNet 50 to enhance the feature flow between residual blocks and better fuse multiscale features. Furthermore, a global branch and a local branch are designed and applied to enhance the channel aggregation and position perception ability of the network by utilizing the dual ensemble attention module, as along as the fine-grained feature expression is obtained by using multiproportion block and reorganization. Thus, the global and local features are enhanced. The experimental results on Market-1501 dataset and DukeMTMC-reID dataset show that the indexes of the presented model, especially Rank-1 accuracy, reach 96.20% and 89.59%, respectively, which can be considered as a progress in Re-ID.

Second Mechanism of Democratic Reason: Majority Rule

2012 ◽  
Author(s):  
Hélène Landemore
Keyword(s):  
Majority Rule ◽  
Cognitive Diversity ◽  
Condorcet Jury Theorem ◽  
Fine Grained ◽  
Model Based ◽  
Jury Theorem ◽  
The Right

This chapter argues that majority rule is a useful complement of inclusive deliberation, not just because majority rule is more efficient timewise, but because it has distinct epistemic properties of its own. It also stresses that majority rule is best designed for collective prediction—that is, the identification of the best options out of those selected during the deliberative phase. Of all the competing alternatives (rule of one or rule of the few), majority rule maximizes the chances of predicting the right answer among the proposed options. The chapter considers several accounts of the epistemic properties of majority rule, including the Condorcet Jury Theorem, the Miracle of Aggregation, and a more fine-grained model based on cognitive diversity.

scholarly journals A MULTIMEDIA MODEL BASED ON STRUCTURED MEDIA AND SUB-ELEMENTS FOR COMPLEX MULTIMEDIA AUTHORING AND PRESENTATION

2002 ◽  
Vol 12 (05) ◽  
pp. 473-500 ◽  
Author(s):  
TRAN_THUONG TIEN ◽  
CECILE ROISIN
Keyword(s):  
New Media ◽  
Significant Advance ◽  
Extended Model ◽  
Multimedia Model ◽  
Multimedia Authoring ◽  
Fine Grained ◽  
Model Based ◽  
Structured Media ◽  
Spatio Temporal ◽  
Definition Of

Declarative definition of multimedia presentation such as provided by SMIL standard can be considered as the most significant advance in the multimedia integration domain. However, the requirements of a model that could express richer scenarios for presentations are always a challenge. The work presented here proposes an extended model based on the concept of structured media and sub-elements that allows a finer granularity and a more semantic specification of significant events and locations inside media fragments. The new media fragments can be composed in multimedia scenarios through the specification of temporal, spatial and spatio-temporal relations. Moreover, we propose an abstract animation model that can be combined with the intra-media temporal structuration to specify animation effects in a flexible, not redundant and easy to maintain way. The underlying model is the Madeus model that is a flexible model based on the structural, interval, region and relative constraints. This paper describes the sub-element and the abstract animation models and shows how they are implemented in the Madeus multimedia framework. A complete schema of the video authoring tool based on this model is also specified. Thanks to that, the fine-grained authoring of multimedia scenarios with video media can be done in an easy and effective way.

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