A Gaussian Process Model for Data Association and a Semidefinite Programming Solution
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سال
: 2014شناسه الکترونیک: 10.1109/TNNLS.2014.2300701
کلیدواژه(گان): Gaussian processes,mathematical programming,pattern clustering,sensor fusion,target tracking,Bayesian model,Gaussian process model,MaxCut problem,SDP relaxation,constrained Max K-section problem,data association problem,hyperparameters,optimization problem,semidefinite programming solution,trajectory smoothness,Bayes methods,Data models,Optimization,Resource management,Standards,Trajectory,Vectors,Clustering,Gaussian processes (GPs),data association,multitarget tracking
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آمار بازدید
A Gaussian Process Model for Data Association and a Semidefinite Programming Solution
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| contributor author | Lazaro-Gredilla, Miguel | |
| contributor author | Van Vaerenbergh, Steven | |
| date accessioned | 2020-03-12T18:44:42Z | |
| date available | 2020-03-12T18:44:42Z | |
| date issued | 2014 | |
| identifier issn | 2162-237X | |
| identifier other | 6730932.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/968667 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A Gaussian Process Model for Data Association and a Semidefinite Programming Solution | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8002827 | |
| subject keywords | Gaussian processes | |
| subject keywords | mathematical programming | |
| subject keywords | pattern clustering | |
| subject keywords | sensor fusion | |
| subject keywords | target tracking | |
| subject keywords | Bayesian model | |
| subject keywords | Gaussian process model | |
| subject keywords | MaxCut problem | |
| subject keywords | SDP relaxation | |
| subject keywords | constrained Max K-section problem | |
| subject keywords | data association problem | |
| subject keywords | hyperparameters | |
| subject keywords | optimization problem | |
| subject keywords | semidefinite programming solution | |
| subject keywords | trajectory smoothness | |
| subject keywords | Bayes methods | |
| subject keywords | Data models | |
| subject keywords | Optimization | |
| subject keywords | Resource management | |
| subject keywords | Standards | |
| subject keywords | Trajectory | |
| subject keywords | Vectors | |
| subject keywords | Clustering | |
| subject keywords | Gaussian processes (GPs) | |
| subject keywords | data association | |
| subject keywords | multitarget tracking | |
| identifier doi | 10.1109/TNNLS.2014.2300701 | |
| journal title | Neural Networks and Learning Systems, IEEE Transactions on | |
| journal volume | 25 | |
| journal issue | 11 | |
| filesize | 1286322 | |
| citations | 0 |