A SURVEY OF IMAGE ENCRYPTION ALGORITHMS FOR BIOMEDICAL IMAGESdoi:10.26634/jpr.9.2.19091MANJU, MOHANPATHAK, RAJESH KUMARi-Manager's Journal of Pattern Recognition
F. 1972. A class of algorithms for fast digital registration. IEEE Trans. Comput. C-21, 179-186.BARROW, H. G., TENENBAUM, J. M., BOLLES, R. C., AND WOLF, H. C. 1977. Parametric correspondence and chamfer matching Two new techmques for image matching. In Proceedings of the Inte...
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection (COLT, 2020) [paper] European Symposium on Algorithms Fully Dynamic Set Cover via Hypergraph Maximal Matching: An Optimal Approximation Through a Local Approach (ESA, 2021) [paper] The Minimization of Random Hypergraphs (ESA...
We review state-of-the-art image reconstruction algorithms with a focus on DL-based methods. First, we examine common reconstruction algorithm designs, applied metrics, and datasets used in the literature. Then, key challenges are discussed as potentially promising strategic directions for future ...
自动驾驶车辆自主行驶在道路上,需要对周围三维场景进行感知,而三维目标检测用于获取物体在三维空间中的位置和类别信息,是自动驾驶感知系统的基础,对后续的路径规划、运动预测、碰撞避免具有重要指导作用。三维…
S. Madhuri, "Classification of Image Registration Techniques and Algorithms in Digital Image Processing - A Research Survey," International Journal of Computer... MG Sindhu 被引量: 5发表: 2014年 A Survey on Image Registration on The Basis of Cross-Correlation Methods S. Madhuri, "Classification ...
performance of text-guided image editing algorithms, we propose a systematic benchmark, EditEval, featuring an innovative metric, LMM Score. Finally, we address current limitations and envision some potential directions for future research. 🔖 News!!!
“Amnesia” - A Selection of Machine Learning Models That Can Forget User Data Very Fast CIDR 2019 Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018 Algorithms that remember: model inversion attacks and data protection law Phi...
One-shot and Zero-shot learning [16,17] algorithms represent another paradigm for building models with extremely limited data. One-shot learning is commonly used in facial recognition applications [18]. An approach to one-shot learning is the use of siamese networks [19] that learn a distance...
稀疏表示综述:A Survey of Sparse Representation: Algorithms and Applications_2015(2) VI. 基于邻近算法的优化策略(PROXIMITY ALGORITHM BASED OPTIMIZATION STRATEGY) proximity algorithm 的核心是 使用邻近算子(proximal operator)去迭代地求解子问题(sub-problem)。