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International Journal of Scientific Research and Management (IJSRM), 2023 Decision making is the most important part in everyday life. We make numerous decisions throughout the day from small to big decisions. These decisions involve choosing which food to eat to choosing in which bank to invest money. Another word for decision making is making choices.
Pethuru Raj +2 more
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A Formal Approach to the Problem of Logical Non-Omniscience [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 We present the logical induction criterion for computable algorithms that assign probabilities to every logical statement in a given formal language, and refine those probabilities over time.
Scott Garrabrant +4 more
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Neural Models of Text Normalization for Speech Applications [PDF]
Computational Linguistics, 2019 Machine learning, including neural network techniques, have been applied to virtually every domain in natural language processing. One problem that has been somewhat resistant to effective machine learning solutions is text normalization for speech ...
Hao Zhang +6 more
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Unsupervised random forest for affinity estimation
Computational Visual Media, 2021 This paper presents an unsupervised clustering random-forest-based metric for affinity estimation in large and high-dimensional data. The criterion used for node splitting during forest construction can handle rank-deficiency when measuring cluster ...
Yunai Yi +5 more
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Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
IEEE Access, 2022 The monitoring of presence is a timely topic in intelligent building management systems. Nowadays, most rooms, halls, and auditoriums use a simple binary presence detector that is used to control the operation of HVAC systems.
Mateusz Piechocki +4 more
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MTRT: Motion Trajectory Reconstruction Transformer for EEG-Based BCI Decoding
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Brain computer interface (BCI) is a system that directly uses brain neural activities to communicate with the outside world. Recently, the decoding of the human upper limb based on electroencephalogram (EEG) signals has become an important research ...
Pengpai Wang +5 more
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Iris Segmentation Using Interactive Deep Learning
IEEE Access, 2020 Automated iris segmentation is an important component of biometric identification. The role of artificial intelligence, particularly machine learning and deep learning, has been considerable in such automated delineation strategies.
Mousumi Sardar +2 more
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Robust 3D face reconstruction from single noisy depth image through semantic consistency
IET Computer Vision, 2021 This paper addresses the 3D face reconstruction and semantic annotation from a single‐view noisy depth image. A deep neural network‐based coarse‐to‐fine framework is presented to take advantage of 3D morphable model (3DMM) regression and per‐vertex ...
Peixin Li +4 more
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Alleviating Long-Tailed Image Classification via Dynamical Classwise Splitting
Mathematics, 2023 With the rapid increase in data scale, real-world datasets tend to exhibit long-tailed class distributions (i.e., a few classes account for most of the data, while most classes contain only a few data points).
Ye Yuan +7 more
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Bioengineering, 2023 Biometric features, e.g., fingerprints, the iris, and the face, have been widely used to authenticate individuals. However, most biometrics are not cancellable, i.e., once these biometric features are cloned or stolen, they cannot be replaced easily ...
Ming Li, Yu Qi, Gang Pan
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