To alleviate that, this paper proposes a weakly supervised deep learning-based cloud detection method using only block-level labels, with a new global convolutional pooling operation and a local ...

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training ... tuning and data augmentation for optimal ...

Abstract: A deep neural network (DNN) online learning processor is proposed with high throughput and low power consumption to achieve real-time object tracking in mobile ... Third, the new data ...

Many institutions were ranked in both, using some overlapping nursing school data that applies to both the master's and DNP programs involving research grants and faculty counts. Schools were ...