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Daniel Sabinasz
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2020 – today
- 2023
- [j1]Daniel Sabinasz, Gregor Schöner:
A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. Top. Cogn. Sci. 15(2): 274-289 (2023) - 2022
- [c9]Matthis Hesse, Daniel Sabinasz, Gregor Schöner:
A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs. CogSci 2022 - [c8]Daniel Sabinasz, Gregor Schöner:
A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. CogSci 2022 - 2020
- [c7]Daniel Sabinasz, Mathis Richter, Jonas Lins, Gregor Schöner:
Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture. CogSci 2020
2010 – 2019
- 2019
- [c6]Daniel Sabinasz, Mathis Richter, Jonas Lins, Gregor Schöner:
How Productivity and Compositionality May Emerge from a Neural Dynamics of Perceptual Grounding. CogSci 2019: 3350 - 2016
- [c5]Merih Seran Uysal, Daniel Sabinasz, Thomas Seidl
:
Approximation-Based Efficient Query Processing with the Earth Mover's Distance. DASFAA (2) 2016: 165-180 - [c4]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Jochen Schmücking, Thomas Seidl
:
Efficient Query Processing using the Earth's Mover Distance in Video Databases. EDBT 2016: 389-400 - 2015
- [c3]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
:
Large-scale Efficient and Effective Video Similarity Search. LSDS-IR@CIKM 2015: 3-8 - [c2]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
:
Effective Content-Based Near-Duplicate Video Detection. ISM 2015: 254-257 - [c1]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
:
FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. SISAP 2015: 347-350
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