Representation Learning : Propositionalization and Embeddings / Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja |
Autore | Lavrac, Nada |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xvi, 163 p. : ill. ; 24 cm |
Altri autori (Persone) |
Podpečan, Vid
Robnik-Šikonja, Marko |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
Soggetto non controllato |
Data fusion
Data structures Deep Learning Embeddings Feature construction Heterogeneous data mining Information networks Machine learning Networks Ontologies Open science Propositionalization Relational Learning Relational data mining Semantic data mining Texts |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0275251 |
Lavrac, Nada
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Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Road Vehicles Surroundings Supervision: On-Board Sensors and Communications |
Autore | Felipe Jimenez (Ed.) |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (218 p.) |
Soggetto non controllato |
Computer vision
Obstacles detection Connected vehicles Vehicle surroundings supervision Vehicle surroundings reconstruction Visual SLAM Autonomous driving V2X communications Driver assistance systems Laser scanner Data fusion Trajectory estimation Cooperative driving |
ISBN | 3-03897-569-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Road Vehicles Surroundings Supervision |
Record Nr. | UNINA-9910346680803321 |
Felipe Jimenez (Ed.)
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Target Tracking with Random Finite Sets / Weihua Wu ... [et al.] |
Pubbl/distr/stampa | Singapore, : Springer ; Beijing, : National Defense Industry, 2023 |
Descrizione fisica | xvi, 443 p. : ill. ; 24 cm |
Soggetto non controllato |
Cardinalized probability hypothesis density
Data fusion Generalized labeled multi-Bernoulli Information fusion Labeled multi-Bernoulli Multi-Bernoulli Probability hypothesis density Random finite set Random set Sensor fusion Target tracking |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0279296 |
Singapore, : Springer ; Beijing, : National Defense Industry, 2023 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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