By taking into account the properties and limitations of the human visual system, images can be more efficiently compressed, colors more accurately reproduced, prints better rendered. To show all these advantages in this paper new adapted color charts have been created based on technical and visual image category analysis. A number of tests have been carried out using extreme images with their key information strictly in dark and light areas. It was shown that the image categorization using the adapted color charts improves the analysis of relevant image information with regard to both the image gradation and the detail reproduction. The images with key information in hi-key areas were also test printed using the adapted color charts.
Optimized Projection for Sparse Representation Based Classification
Tongji University（同济大学）；Hefei Institute of Intelligent Machines, Chinese Academy of Sciences（中国科学院合肥智能机械研究所）；University of Science and Technology of China（中国科学技术大学）
Iterative Misclassification Error Training (IMET): An Optimized Neural Network Training Technique for Image Classification
National Institute of Standards；Department of Physics, Colorado State University, Fort Collins, CO 80523 USA (e-mail: )；Electrical Engineering Department, University of Colorado, Boulder, CO 80309 USA；Farragut High School, Knoxville, TN 37934 USA (e-mail: )；Department of Mathematics；Statistics, Texas A\&M University, Corpus Christi, TX 78412 USA (e-mail: )
Optimized Learned Image Compression for Facial Expression Recognition
Friedrich-Alexander-Universität（弗里德里希-亚历山大大学）；Machine Learning and Data Analytics Lab（机器学习与数据分析实验室）；Translational Digital Health Group（转化数字健康组）；Institute of AI for Health（健康人工智能研究所）；Helmholtz Zentrum München - German Research Center for Environmental Health（亥姆霍兹慕尼黑研究中心 - 德国环境健康研究中心）
Optimized Culprit Identification Using Mobilenet and Attention Mechanisms
Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE), Bangalore University, CMR Institute of Technology, Bengaluru, India（计算机科学与工程系，Visvesvaraya工程学院（UVCE），班加罗尔大学，CMR技术学院，班加罗尔，印度）；Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE), Bangalore University, Bengaluru, India（计算机科学与工程系，Visvesvaraya工程学院（UVCE），班加罗尔大学，班加罗尔，印度）
Erase but Preserve: Controllable Removal of Copyrighted Animation Characters via Optimized Semantic Anchors
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques
Auburn University（奥本大学）；National Yang-Ming Chiao Tung University（国立阳明交通大学）；University of Agriculture, Faisalabad（费萨拉巴德农业大学）；University of Georgia（佐治亚大学）；University of Wyoming（怀俄明大学）；National Institute of Food Science and Technology（国家食品科学与技术研究所）
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
National University of Singapore（新加坡国立大学）；Nanyang Technological University（南洋理工大学）；Institute of High Performance Computing (IHPC), A*STAR（新加坡科技研究局高性能计算研究所）；Centre for Frontier AI Research (CFAR), A*STAR（新加坡科技研究局前沿人工智能研究中心）
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
Sichuan University（四川大学）；West China Hospital, Sichuan University（四川大学华西医院）；Institute of High Performance Computing, Agency for Science, Technology and Research（新加坡科技研究局高性能计算研究所）
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
Dhaka University of Engineering & Technology（达卡工程技术大学）；Jashore University of Science and Technology（杰索尔科技大学）；International Islamic University Chittagong（吉大港国际伊斯兰大学）；Zarqa University（扎尔卡大学）；Northumbria University（诺森比亚大学）；Qassim University（卡西姆大学）
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
FPT Software AI Center（FPT软件人工智能中心）；John von Neumann Institute, Vietnam National University（越南国家大学冯·诺依曼研究院）；My Duc Phu Nhuan Hospital（美德富润医院）；Vinmec Central Park International Hospital（Vinmec中央公园国际医院）；Arkansas Economic Development Commission（阿肯色州经济发展委员会）；University of Science, VNU-HCM（越南国家大学胡志明市分校科学大学）；University of Arkansas（阿肯色大学）；My Duc Hospital（美德医院）
Medical Image Classification on Imbalanced Data Using ProGAN and SMA-Optimized ResNet: Application to COVID-19
Department of Mechatronics, School of Intelligent Systems College of Interdisciplinary Science and Technology University of Tehran（塔里克大学机械工程系、智能系统学院跨学科科学与技术学院）；School of Science and Technology Faculty of Science, Agriculture, Business and Law University of New England（新英格兰大学科学与技术学院科学、农业、商业与法学院）
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
Université du Québec à Montréal（魁北克大学蒙特利尔分校）；Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University（迪肯大学智能系统研究与创新研究所）；Cracow University of Technology（克拉科夫工业大学）；Mila - Quebec AI Institute（米拉-魁北克人工智能研究所）
