A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274475
Abstract: Monitoring nutritional values in food can help an individual in planning a healthy diet. In addition, regular dietary assessment can improve and maintain the physical and mental health of individuals. Recent advancement in computer vision… read more here.
Keywords: food value; food; value estimation; estimation ... See more keywords
An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2016.2636243
Abstract: Microarray data often contain missing values which significantly affect subsequent analysis. Existing LLSimpute-based imputation methods for dealing with missing data have been shown to be generally efficient. However, all of the LLSimpute-based methods do not… read more here.
Keywords: estimation; missing value; lsimpute; value estimation ... See more keywords
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3215596
Abstract: Deep off-policy actor-critic algorithms have been successfully applied to challenging tasks in continuous control. However, these methods typically suffer from the poor sample efficiency problem, limiting their widespread adoption in real-world domains. To mitigate this… read more here.
Keywords: pessimistic value; value estimation; policy; value ... See more keywords
Dynamic-Horizon Model-Based Value Estimation With Latent Imagination.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3215788
Abstract: Existing model-based value expansion (MVE) methods typically leverage a world model for value estimation with a fixed rollout horizon to assist policy learning. However, a proper horizon setting is essential to world-model-based policy learning. Meanwhile,… read more here.
Keywords: value estimation; value; horizon; model ... See more keywords
Efficient and automated initial value estimation in digital image correlation for large displacement, rotation, and scaling.
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DOI: 10.1364/ao.405551
Abstract: The initial value estimation for seed point is the first step in digital image correlation calculation. Among the existing algorithms, the Fourier-Mellin transform-based cross correlation (FMT-CC) algorithm is one of the most efficient and robust… read more here.
Keywords: value estimation; rotation; large displacement; initial value ... See more keywords