21,731 results found (page 9 of 1449)
https://www.academia.edu/12009706/A_PREDICTIVE_SYSTEM_FOR_DETECTION_OF_BANKRUPTCY_USING_MA…

… Hence pre-processing measures must be adopted Data pre-processing: The initial dataset is subjected for pre-processing. Pre-processing is performed to remove the outliers and redundant data. The missing values are replaced by normalization and transformation Development of model…

https://www.academia.edu/77435824/Classification_and_Fast_Few_Shot_Learning_of_Steel_Surfa…

…y inspection is inevitable in the steel industry so there are already benchmark datasets for the visual inspection of steel surface defects. In our work, we show, contrary to previous recent articles, that a generic state-of-art deep neural network is capable of almost-perfect cl…

https://www.academia.edu/130002181/Model_Latent_Views_with_Multi_Center_Metric_Learning_fo…

…les of illustrating the major challenges of multiview vehicle Re-ID on VeRi-776 dataset. Images with the same color borderbox are from the same vehicle. (a) Multi-view vehicle Re-ID aims to match vehicle images across different views. The extreme viewpoint variation problem incre…

https://www.academia.edu/5052557/Energetic_Costs_of_Reproductive_Effort_in_Male_Chimpanzee…

…predictability of obtaining urine samples from subjects. As a result, a typical dataset used in such studies includes samples collected at different times of the day during different periods and from different individuals. Human studies show that fasting UCP levels are well corre…

https://www.academia.edu/126801943/Timers_and_Such_A_Practical_Benchmark_for_Spoken_Langua…

…il protected] Abstract This paper introduces Timers and Such, a new open source dataset of spoken English commands for common voice control use cases involving numbers. We describe the gap in existing spoken language understanding datasets that Timers and Such fills, the design a…

https://www.academia.edu/70051348/MCMLSD_A_Probabilistic_Algorithm_and_Evaluation_Framewor…

…s for under- and over-segmentation. Evaluation on the YorkUrbanDB and Wireframe datasets shows that the proposed MCMLSD method outperforms prior traditional approaches, as well as more recent deep learning methods. Index Terms—Line Segment Detection, Hough Transform, Probabilisti…

https://www.academia.edu/112342868/Joint_Client_Scheduling_and_Resource_Allocation_Under_C…

…ing prediction for adaptive trans- distributions capturing the heterogeneity in dataset sizes and mission in wireless communication systems. Channel predic- available classes. In addition, we compare the feasibility of tion via fully connected recurrent neural networks are pro- t…

https://www.academia.edu/40250266/Performance_Comparison_of_Pretrained_Convolutional_Neura…

…to texture or foreign objects (such as hair or vegetation) the size of training dataset, depth of networks, 2. inhomogeneous illumination of the surface number of epochs for training and expandability to endangering the conservation of crack continuity [3] other material types ut…