Develops sequential and progressive algorithms for finding endmembers as they relate to real time hyperspectral image processing Designs algorithms for anomaly detection from causality and real time perspectives
Martin, D., Fowlkes, C., Tal, D., & Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings of the IEEE International Conference on Computer Vision, (2002) Huang, J.B., Singh, A...
In recent years, significant advancements have been made in the field of image denoising, leading to the emergence of a plethora of sophisticated algorithms. Broadly, these algorithms can be categorized into two primary groups: the conventional methods reliant on artificial features, and those anchored...
Deep learning-based inpainting algorithms for these datasets are broadly classified into two categories: convolutional neural networks (CNNs) and generative adversarial networks (GANs). 2.1 Image inpainting datasets The Places2 dataset is widely used in image inpainting research [27]. It is designed ...
Wavelet-based lossy compression techniques are of particular interest due to their long history of providing excellent rate-distortion performance for traditional 2D imagery. Consequently, a number of prominent 2D compression algorithms have been extended to 3D. These include the 3D extensions of JPEG...
This category of supervised learning algorithms is powerful and can automatically learn to identify task-specific features from images during the training stage. Multiple CNN-based methods already exist for mapping landslides from optical images. We adapted these implementations by replacing the optical ...
J. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Mach. Learn. 8, 229–256 (1992). Article MATH Google Scholar Hersche, M., Zeqiri, M., Benini, L., Sebastian, A. & Rahimi, A. IBM/neuro-vector-symbolic-architectures. Zenodo https://doi.org/...
The application of intelligent optimization algorithms in geometric design[D]. Hangzhou: Zhejiang University of Technology, 2017(in Chinese)(胡良臣. 智能优化算法在几何设计中的应用[D]. 杭州: 浙江工业大学, 2017). Google Scholar [36] Zhang Y, Wang P, Bao F, et al. A Single-Image Super...
For example, Hunt (1974) identified two general problem-solving algorithms that could be used to solve the matrices. One algorithm is an analytic strategy that “applies logical operations to features contained within elements of the problem matrix” (Hunt, 1974, p. 133), while the other is ...
In other words, the system may apply different training algorithms to each of the DNNs in the sequence of DNNs. For example, one or more of the DNNs in the sequence of DNNs may be trained on image classification, whereas one or more other DNNs in the sequence of DNNs may be trained ...