Intelligent systems and applications : proceedings of the 2020 Intelligent Systems Conference (IntelliSys). Volume I /

Saved in:
Bibliographic Details
Corporate Author: ProQuest (Firm)
Other Authors: Arai, Kohei (Editor)
Format: Electronic eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Advances in intelligent systems and computing ; 1250.
Subjects:
Online Access:Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)

MARC

LEADER 00000nam a2200000 i 4500
001 b3825467
003 CStclU
005 20210613144521.2
006 m o d
007 cr |n|||||||||
008 200831s2020 sz o 000 0 eng d
020 |a 9783030551803  |q (electronic book) 
020 |a 3030551806  |q (electronic book) 
020 |a 9783030551872  |q (electronic book) 
020 |a 3030551873  |q (electronic book) 
020 |z 9783030551902  |q (electronic book) 
020 |z 3030551903  |q (electronic book) 
020 |z 9783030551865 
020 |z 3030551865 
035 |a (NhCcYBP)ebc6318135 
037 |a com.springer.onix.9783030551872  |b Springer Nature 
040 |a NhCcYBP  |c NhCcYBP 
050 4 |a Q325.5  |b .I58 2020 
082 0 4 |a 006.3/1  |2 23 
245 0 0 |a Intelligent systems and applications :  |b proceedings of the 2020 Intelligent Systems Conference (IntelliSys).  |n Volume I /  |c Kohei Arai, [and 2 others], editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2020] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Advances in intelligent systems and computing ;  |v volume 1250 
505 0 |a Intro -- Editor's Preface -- Contents -- CapsNet vs CNN: Analysis of the Effects of Varying Feature Spatial Arrangement -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Capsule Network with Dynamic Routing (CapsNet) -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Improved 2D Human Pose Tracking Using Optical Flow Analysis -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 4 Method -- 5 Results -- 6 Discussion and Conclusions -- References 
505 8 |a Transferability of Fast Gradient Sign Method -- 1 Introduction -- 2 Related Work -- 2.1 Adversarial Robustness Toolbox (ART) -- 2.2 Cleverhans -- 3 Concepts -- 3.1 Dataset -- 3.2 Image Quality Metrics -- 3.3 Frameworks -- 3.4 Image Classification Models -- 3.5 Fast Gradient Sign Method -- 4 Measurements -- 4.1 Transferability of Adversarial Examples -- 4.2 Quality Degradation -- 5 Future Work -- 6 Conclusion -- References -- Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy -- 1 Introduction -- 2 Digital Image Processing -- 2.1 DIARETDB Database 
505 8 |a 2.2 Blood Vessels -- 2.3 Optical Disk and Fovea -- 2.4 Microaneurysms and Hemorrhages -- 2.5 Exudates -- 3 Classifier Design -- 3.1 Support Vector Machine (SVM) -- 3.2 Artificial Neural Network (ANN) -- 3.3 Results -- 4 Conclusion -- References -- Adaptive Attention Mechanism Based Semantic Compositional Network for Video Captioning -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Encoding -- 3.2 Decoding -- 3.3 MLP -- 4 Experiment -- 4.1 Dataset -- 4.2 Preprocessing -- 4.3 Results -- 5 Conclusion -- References 
505 8 |a Estimated Influence of Online Management Tools on Team Management Based on the Research with the Use of the System of Organizational Terms -- 1 Introduction -- 2 Related Work on Human-Computer Interaction Research -- 3 The Theoretical Foundations of the System of Organizational Terms -- 4 Results of Research -- 5 Conclusions -- References -- Liveness Detection via Facial Expressions Queue -- 1 Introduction -- 2 Related Works -- 3 Liveness Detection System -- 4 Methods and Results -- 5 Conclusion -- References -- Java Based Application Development for Facial Identification Using OpenCV Library 
505 8 |a 1 Introduction -- 2 Using an Unmanned Aircraft for the Study -- 3 Development of the Application for Facial Identification -- 4 Conclusion -- References -- Challenges in Face Recognition Using Machine Learning Algorithms: Case of Makeup and Occlusions -- 1 Introduction -- 2 Artificial Neural Network Algorithms -- 2.1 Activation Functions -- 2.2 Learning Algorithms and Back-Propagation -- 2.3 Cost Functions -- 2.4 Convolutional Neural Networks -- 3 Engineered Features Algorithms -- 3.1 Bag of Features -- 3.2 Speeded-Up Robust Feature Detector and Descriptor -- 4 Data Set -- 5 Experiments 
533 |a Electronic reproduction.  |b Ann Arbor, MI  |n Available via World Wide Web. 
650 0 |a Machine learning  |v Congresses. 
700 1 |a Arai, Kohei,  |e editor. 
710 2 |a ProQuest (Firm) 
776 0 8 |c Original  |z 3030551865  |z 9783030551865 
830 0 |a Advances in intelligent systems and computing ;  |v 1250. 
856 4 0 |u https://ebookcentral.proquest.com/lib/santaclara/detail.action?docID=6318135  |z Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)  |t 0 
907 |a .b38254670  |b 211018  |c 211018 
998 |a uww  |b    |c m  |d z   |e l  |f eng  |g sz   |h 0 
917 |a GOBI ProQuest DDA 
919 |a .ulebk  |b 2020-07-09 
999 f f |i 8a03b9b5-12da-5494-8977-95b90534305d  |s bb8fe048-596c-54d7-b81c-477787edb2b4  |t 0