zweidimensionales bewegtes Bild
DeepBase: Deep Inspection of Neural Networks
- Standort
-
Hannover TIB
- Umfang
-
548MB, 00:17:45:14 (unknown)
- Sprache
-
Englisch
- Anmerkungen
-
Audiovisuelles Material
- Erschienen in
-
SIGMOD 2019 ; (Jan. 2019)
- Ereignis
-
Veröffentlichung
- (wer)
-
ACM SIGMOD
- (wann)
-
2019-01-01
- Beteiligte Personen und Organisationen
-
Sellam, Thibault
Lin, Kevin
Huang, Ian
Yang, Michelle
Vondrick, Carl
Wu, Eugene
- DOI
-
10.5446/42951
- Letzte Aktualisierung
-
04.12.2024, 08:09 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- zweidimensionales bewegtes Bild
Beteiligte
- Sellam, Thibault
- Lin, Kevin
- Huang, Ian
- Yang, Michelle
- Vondrick, Carl
- Wu, Eugene
- ACM SIGMOD
Entstanden
- 2019-01-01
Ähnliche Objekte (12)
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations
Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment
Algorithmic Fairness: Measures, Methods and Representations
State of Public and Private Blockchains: Myths and Reality
Approximate Distinct Counts for Billions of Datasets
Remembering the Probabilistic Analysis of Latent Semantic Indexing
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Database Repairs and Consistent Query Answering: Origins and Further Developments
SIGMOD Edgar F. Codd Innovations Award Talk
SpeakQL: Towards Speech-driven Multimodal Querying
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations
Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment
Algorithmic Fairness: Measures, Methods and Representations
State of Public and Private Blockchains: Myths and Reality
Approximate Distinct Counts for Billions of Datasets
Remembering the Probabilistic Analysis of Latent Semantic Indexing
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Database Repairs and Consistent Query Answering: Origins and Further Developments
SIGMOD Edgar F. Codd Innovations Award Talk
SpeakQL: Towards Speech-driven Multimodal Querying
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations
Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment
Algorithmic Fairness: Measures, Methods and Representations
State of Public and Private Blockchains: Myths and Reality
Approximate Distinct Counts for Billions of Datasets
Remembering the Probabilistic Analysis of Latent Semantic Indexing
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Database Repairs and Consistent Query Answering: Origins and Further Developments
SIGMOD Edgar F. Codd Innovations Award Talk
SpeakQL: Towards Speech-driven Multimodal Querying