2.1k citations
- Max Planck SocietyDE10 papers
- Harvard UniversityUS6 papers
- Broad InstituteUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Massachusetts Institute of TechnologyUS4 papers
- Université de BordeauxFR4 papers
- Howard Hughes Medical InstituteUS3 papers
- Laboratoire Bordelais de Recherche en InformatiqueFR3 papers
- 23andMe (United States)US2 papers
- Chinese Academy of SciencesCN2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Institute of Vertebrate Paleontology and PaleoanthropologyCN2 papers
33 papers
Over-representation of phonological features in basic vocabulary doesn't replicate when controlling for spatial and phylogenetic effects
Frederic Blum
The statistical over-representation of phonological features in the basic vocabulary of languages is often interpreted as reflecting potentially universal sound symbolic patterns.…
Machine Culture
Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notio…
Dataset Generation and Bonobo Classification from Weakly Labelled Videos
Pierre-Etienne Martin
This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos…
Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks
Leonard Hacker, Finn Bartels, Pierre-Etienne Martin
As participants of the MediaEval 2022 Sport Task, we propose a two-stream network approach for the classification and detection of table tennis strokes. Each stream is a succession…
Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanisms
Pierre-Etienne Martin
This paper presents the baseline method proposed for the Sports Video task part of the MediaEval 2022 benchmark. This task proposes two subtasks: stroke classification from trimmed…
Tunable robustness in power-law inference
Qianying Lin, Mitchell Newberry
Power-law probability distributions arise often in the social and natural sciences. Statistics have been developed for estimating the exponent parameter as well as gauging goodness…