|
|
|
|
| LEADER |
00000cam a2200000Mu 4500 |
| 001 |
EBOOKCENTRAL_on1028181120 |
| 003 |
OCoLC |
| 005 |
20240329122006.0 |
| 006 |
m o d |
| 007 |
cr |n|---||||| |
| 008 |
180310s2017 gw o 000 0 eng d |
| 040 |
|
|
|a EBLCP
|b eng
|e pn
|c EBLCP
|d YDX
|d OCLCQ
|d REDDC
|d OCLCQ
|d OCLCF
|d OCLCO
|
| 019 |
|
|
|a 1028590084
|a 1028650914
|a 1028807685
|a 1028885608
|a 1028951023
|a 1028972600
|a 1029050308
|a 1029207332
|
| 020 |
|
|
|a 9783832592455
|
| 020 |
|
|
|a 3832592458
|
| 020 |
|
|
|z 3832546332
|
| 020 |
|
|
|z 9783832546335
|
| 029 |
1 |
|
|a AU@
|b 000065653072
|
| 035 |
|
|
|a (OCoLC)1028181120
|z (OCoLC)1028590084
|z (OCoLC)1028650914
|z (OCoLC)1028807685
|z (OCoLC)1028885608
|z (OCoLC)1028951023
|z (OCoLC)1028972600
|z (OCoLC)1029050308
|z (OCoLC)1029207332
|
| 050 |
|
4 |
|a Q327
|b .G794 2017
|
| 082 |
0 |
4 |
|a 001.534
|2 23
|
| 049 |
|
|
|a UAMI
|
| 100 |
1 |
|
|a Grzegorzek, Marcin.
|
| 245 |
1 |
0 |
|a Sensor Data Understanding.
|
| 260 |
|
|
|a Berlin :
|b Logos Verlag Berlin,
|c 2017.
|
| 300 |
|
|
|a 1 online resource (238 pages)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 588 |
0 |
|
|a Print version record.
|
| 505 |
0 |
|
|a Intro; Preface; I Introduction; Fundamental Concept; Motivation; Active and Assisted Living; Digital Medicine; Outline and Contribution; References; II Visual Scene Analysis; Large-Scale Multimedia Retrieval; Hierarchical Organisation of Semantic Meanings; Concept Detection; Global versus Local Features; Feature Learning; Event Retrieval; Event Retrieval within Images/Shots; Event Retrieval over Shot Sequences; Conclusion and Future Trends; Reasoning; Uncertainties in Concept Detection; Adaptive Learning; References; Shape-Based Object Recognition; Problem Statement and Motivation.
|
| 505 |
8 |
|
|a Shape RepresentationSurvey of Related Methods; Coarse-grained Shape Representation; Fine-grained Shape Representation; Shape Matching; Survey of Related Methods; Shape Matching using Coarse-grained Features; Shape Matching using Fine-grained Features; Experiments and Results; Shape Retrieval using Coarse-grained Features; Shape Retrieval using Fine-grained Features; Conclusion and Future Trends; References; Moving Object Analysis for Video Interpretation; Object Tracking in 2D Video; Survey of Related Approaches; Tracking-Learning-Detection; Tracking in Omnidirectional Video.
|
| 505 |
8 |
|
|a Experiments and Results3D Trajectory Extraction from 2D Video; RJ-MCMC Particle Filtering; Convoy Detection in Crowded Video; Experiments and Results; Conclusion and Future Trends; References; III Human Data Interpretation; Physical Activity Recognition; Atomic Activity Recognition; Survey of Related Approaches; Codebook Approach for Classification; Experiments and Results; Gait Recognition; Survey or Related Approaches; Spatiotemporal Representation of Gait; Experiments and Results; Conclusion and Future Trends; References; Cognitive Activity Recognition.
|
| 505 |
8 |
|
|a Definition, Taxonomy, Impact on HealthSensing the Brain Activity; Electroencephalography; Electrooculography; Functional Magnetic Resonance Imaging; Functional Near-InfraRed Spectroscopy; Survey of Related Methods; Electrooculography-Based Approach; Cognitive Activity Recognition Method; Investigating Codewords; Application and Validation; Collecting a Dataset; Implementation Details; Results for Cognitive Activity Recognition; Results for Codewords Investigation; Conclusion and Future Trends; References; Emotion Recognition; Automatic Recognition of Emotions.
|
| 505 |
8 |
|
|a Definition and Taxonomy of EmotionsExisting Techniques for Emotion Recognition; Emotion Recognition Challenges; Multimodal Emotion Recognition; Arousal/Valence Estimation; Basic Emotion Recognition; Approaches Based on Physiological Data; Stress Detection Using Hand-crafted Features; Codebook Approach for Feature Generation; Deep Neural Networks for Feature Generation; Conclusion and Future Trends; References; IV Conclusion; Summary and Future Vision; Visual Scene Analysis; Human Data Interpretation; Data-Driven Society; References; List of Figures; List of Tables.
|
| 590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
| 650 |
|
0 |
|a Pattern perception.
|
| 650 |
|
0 |
|a Auditory scene analysis.
|
| 650 |
|
6 |
|a Perception des structures.
|
| 650 |
|
6 |
|a Analyse de scènes auditives.
|
| 650 |
|
7 |
|a Auditory scene analysis
|2 fast
|
| 650 |
|
7 |
|a Pattern perception
|2 fast
|
| 776 |
0 |
8 |
|i Print version:
|a Grzegorzek, Marcin.
|t Sensor Data Understanding.
|d Berlin : Logos Verlag Berlin, ©2017
|z 9783832546335
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5313463
|z Texto completo
|
| 938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL5313463
|
| 938 |
|
|
|a YBP Library Services
|b YANK
|n 15212090
|
| 994 |
|
|
|a 92
|b IZTAP
|
