no code implementations • 28 Mar 2022 • Hari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, Pooja Vyas, Nivedita Hegde, Purbayan Kar, Abhi Lad, Jens Thang, Jagruthi Atada, Duy Nguyen, PS Roopa, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla
Multiple studies have demonstrated that obtaining standardized fetal brain biometry from mid-trimester ultrasonography (USG) examination is key for the reliable assessment of fetal neurodevelopment and the screening of central nervous system (CNS) anomalies.
We prove that under the multi-scale Bernstein's condition, the generalized posterior distribution concentrates around the set of optimal hypotheses and the generalized Bayes estimator can achieve fast learning rate.
Recourse actions, also known as counterfactual explanations, aim to explain a particular algorithmic decision by showing one or multiple ways in which the instance could be modified to receive an alternate outcome.
This paper contributes a new high-quality dataset for hand gesture recognition in hand hygiene systems, named "MFH".
For several purposes in Natural Language Processing (NLP), such as Information Extraction, Sentiment Analysis or Chatbot, Named Entity Recognition (NER) holds an important role as it helps to determine and categorize entities in text into predefined groups such as the names of persons, locations, quantities, organizations or percentages, etc.
Nonetheless, the development of the existing VB algorithms is so far generally restricted to the case where the variational parameter space is Euclidean, which hinders the potential broad application of VB methods.
We prove new fast learning rates for the one-vs-all multiclass plug-in classifiers trained either from exponentially strongly mixing data or from data generated by a converging drifting distribution.