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Monophonic music transcription using neural semi-Markov conditional random field with monophonic path inference

Journal of the Acoustical Society of America
This paper addresses automatic transcription of monophonic music, a fundamental but still important task. A previous method using a neural semi-Markov conditional random field (NS-CRF) achieved state-of-the-art performance in polyphonic piano ...
Shunya Ishikawa, Toru Nakashika
semanticscholar   +1 more source

ON THE CONDITIONS OF POSSIBILITY OF THE PATH IN LERMONTOV’S WORLD

Culture and Text
The article provides an explanation of the paradoxical situation: while embarking on the stony path, the lyrical hero of the poem «I  Go Out Alone onto the Road» does not actually walk it for some reason.
Sergey Savinkov
semanticscholar   +1 more source

AI in Software Engineering at Google: Progress and the Path Ahead (Invited Talk)

AIware
Over a period of just about 5 years, the use of AI-based tools for software engineering has gone from being a very promising research investigation to indispensable features in modern developer environments. This talk will present AI-powered improvements
Satish Chandra
semanticscholar   +1 more source

Accurate and Efficient Path Delay Estimation in OMP Based Sparse Channel Estimation for OFDM With Equispaced Pilots

IEEE Wireless Communications Letters, 2019
The orthogonal matching pursuit (OMP) algorithm has been widely adopted in sparse channel estimation, both in radio and underwater acoustic communications.
L. Wan   +4 more
semanticscholar   +1 more source

Spider network search strategy for p-location problems

International Symposium on Computational Intelligence and Informatics, 2020
This paper deals with the strategic level of emergency health care management. Its main research topic consists in searching suitable deployment of service centers, from which the ambulance vehicles are sent to the demand points in case of emergency ...
Marek Kvet, J. Janáček
semanticscholar   +1 more source

Research on Global Path Planning Technology for Field Maneuver of Armored Platforms

2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
Aiming at practical field operations for armored platforms and addressing the poor practicality of the results of traditional elevation data-based field maneuver path planning for armored vehicles due to the inadequate precision of elevation data, this ...
Yan Cui   +3 more
semanticscholar   +1 more source

Lidar based vineyard path identification approach to plant protection robot autonomous driving

International Conference on Real-time Computing and Robotics, 2019
The problem of heavy load and low efficiency of manual work in the vineyard environment needs to be solved. The identification of the center line between the ridge lines is the key to realize the technologies of the vineyard self-propelled plant ...
Hongchuan Lin   +4 more
semanticscholar   +1 more source

Renewal and multi-voicedness: in search of narrative conscience

The Pursuit of Happiness, 2019
In this paper, the theme of multi-voicedness in the search on the path of life is explored. It will be argued that we, as human beings, not only live within an ambiguous world, but also have to deal with an ambiguous self.
Michiel de Ronde
semanticscholar   +2 more sources

A New Method for Fast Path Planning of Underwater Vehicle in the Shallow Sea Environment

International Conference on Instrumentation and Measurement, Computer, Communication and Control, 2018
In view of the problem that the optimal solution quality of classic path planning methods for underwater vehicle is not good enough to guarantee that there has the best path in the complex environment of shallow coastal waters.
L. Sheng   +4 more
semanticscholar   +1 more source

Multiagent Evolution Strategy With Cooperative and Cumulative Step Adaptation for Black-Box Distributed Optimization

IEEE Transactions on Evolutionary Computation
In recent years, black-box distributed optimization (DBO) has been widely studied to solve complex optimization problems in multiagent systems (MASs), such as hyperparameter optimization of distributed machine learning. However, most existing methods use
Tai-You Chen   +4 more
semanticscholar   +1 more source

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