zweidimensionales bewegtes Bild
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations
- Standort
-
Hannover TIB
- Umfang
-
659MB, 00:17:23:14 (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
-
Nakandala, Supun
Kumar, Arun
Papakonstantinou, Yannis
- DOI
-
10.5446/42901
- Letzte Aktualisierung
-
04.12.2024, 08:10 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
- Nakandala, Supun
- Kumar, Arun
- Papakonstantinou, Yannis
- ACM SIGMOD
Entstanden
- 2019-01-01
Ähnliche Objekte (12)
The Selfish Models Property: Bounding the Complexity of Query Containment and Entailment Problems
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Query-Driven Learning for Next Generation Predictive Modeling and Analytics
Topic Pages: From Articles to Answers
SIGMOD Test-Of-Time Award Talk: Building Tools for Differentially Private Data Analysis
Infrastructure for Machine Learning: Ideas from Industry and Research
Ceres: Harvesting knowledge from the semi-structured web
Fingerprints for Compressed Columnar Data Search
Approximate Distinct Counts for Billions of Datasets
SpeakQL: Towards Speech-driven Multimodal Querying
Algorithmic Fairness: Measures, Methods and Representations
The Selfish Models Property: Bounding the Complexity of Query Containment and Entailment Problems
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Query-Driven Learning for Next Generation Predictive Modeling and Analytics
Topic Pages: From Articles to Answers
SIGMOD Test-Of-Time Award Talk: Building Tools for Differentially Private Data Analysis
Infrastructure for Machine Learning: Ideas from Industry and Research
Ceres: Harvesting knowledge from the semi-structured web
Fingerprints for Compressed Columnar Data Search
Approximate Distinct Counts for Billions of Datasets
SpeakQL: Towards Speech-driven Multimodal Querying
Algorithmic Fairness: Measures, Methods and Representations
The Selfish Models Property: Bounding the Complexity of Query Containment and Entailment Problems
Responsible Data Science
Exact Cardinality Query Optimization with Bounded Execution Cost
Query-Driven Learning for Next Generation Predictive Modeling and Analytics
Topic Pages: From Articles to Answers
SIGMOD Test-Of-Time Award Talk: Building Tools for Differentially Private Data Analysis
Infrastructure for Machine Learning: Ideas from Industry and Research
Ceres: Harvesting knowledge from the semi-structured web
Fingerprints for Compressed Columnar Data Search
Approximate Distinct Counts for Billions of Datasets
SpeakQL: Towards Speech-driven Multimodal Querying