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| 003 | OCoLC | ||
| 005 | 20171224114816.0 | ||
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| 008 | 150116s2015 nju ob 001 0 eng | ||
| 010 | _a 2015002169 | ||
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| 020 | _a9781119010241 (ePub) | ||
| 020 | _a1119010241 (ePub) | ||
| 020 | _a9781119010234 (Adobe PDF) | ||
| 020 | _a1119010233 (Adobe PDF) | ||
| 020 | _z9781118893760 (hardback) | ||
| 020 | _a9781119010258 | ||
| 020 | _a111901025X | ||
| 020 | _a111889376X | ||
| 020 | _a9781118893760 | ||
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_aTEC008060 _aTEC064000 _aCOM021030 _2bisacsh |
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| 049 | _aMAIN | ||
| 100 | 1 |
_aCook, Diane J., _d1963- |
|
| 245 | 1 | 0 |
_aActivity learning : _bdiscovering, recognizing, and predicting human behavior from sensor data / _cDiane J. Cook, Narayanan C. Krishnan. |
| 264 | 1 |
_aHoboken, NJ : _bWiley, _c2015. |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aWiley Series on Parallel and Distributed Computing | |
| 520 |
_a"The book provides an in-depth look at computational approaches to activity learning from sensor data"-- _cProvided by publisher. |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 8 | _aMachine generated contents note: 1 Introduction 2 Activities 2.1 Definitions 2.2 Classes of Activities 2.3 Additional Reading 3 Sensing 3.1 Sensors Used for Activity Learning 3.2 Sample Sensor Datasets 3.3 Features 3.4 Multisensor Fusion 3.5 Additional Reading 4 Machine Learning 4.1 Supervised Learning Framework 4.2 Naïve Bayes Classifier 4.3 Gaussian Mixture Model 4.4 Hidden Markov Model 4.5 Decision Tree 4.6 Support Vector Machine 4.7 Conditional Random Field 4.8 Combining Classifier Models 4.9 Dimensionality Reduction 4.10 Additional Reading 5 Activity Recognition 5.1 Activity Segmentation 5.2 Sliding Windows 5.3 Unsupervised Segmentation 5.4 Measuring Performance 5.5 Additional Reading 6 Activity Discovery 6.1 Zero-Shot Learning 6.2 Sequence Mining 6.3 Clustering 6.4 Topic Models 6.5 Measuring Performance 6.6 Additional Reading 7 Activity Prediction 7.1 Activity Sequence Prediction 7.2 Activity Forecasting 7.3 Probabilistic Graph-Based Activity Prediction 7.4 Rule-Based Activity Timing Prediction 7.5 Measuring Performance 7.6 Additional Reading 8 Activity Learning in the Wild 8.1 Collecting Annotated Sensor Data 8.2 Transfer Learning 8.3 Multi-Label Learning 8.4 Activity Learning for Multiple Individuals 8.5 Additional Reading 9 Applications of Activity Learning 9.1 Health 9.2 Activity-Aware Services 9.3 Security and Emergency Management 9.4 Activity Reconstruction, Expression and Visualization 9.5 Analyzing Human Dynamics 9.6 Additional Reading 10 The Future of Activity Learning Appendix: Sample Activity Data Bibliography. | |
| 588 | _aDescription based on print version record and CIP data provided by publisher. | ||
| 650 | 0 |
_aActive learning _xData processing. |
|
| 650 | 0 |
_aDetectors _xData processing. |
|
| 650 | 0 | _aMultisensor data fusion. | |
| 650 | 7 |
_aTECHNOLOGY & ENGINEERING / Electronics / Digital. _2bisacsh |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING / Sensors. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining. _2bisacsh |
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| 655 | 4 | _aElectronic books. | |
| 655 | 0 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aCook, Diane J., 1963- _tActivity learning _dHoboken, NJ : Wiley, 2015 _z9781118893760 _w(DLC) 2014039501 |
| 830 | 0 | _aWiley series on parallel and distributed computing. | |
| 856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781119010258 _zWiley Online Library |
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