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Found 4 papers, 0 papers with code
Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications
In this paper, we discuss the formalized approach for generating and estimating symbols (and alphabets), which can be communicated by the wide range of non-verbal means based on specific user requirements (medium, priorities, type of information that needs to be conveyed).
Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation
In this progress paper the previous results of the single note recognition by deep learning are presented.
Automatized Generation of Alphabets of Symbols
In this paper, we discuss the generation of symbols (and alphabets) based on specific user requirements (medium, priorities, type of information that needs to be conveyed).
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes
The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared.
