Abstract: Modeling statistics of image priors is useful for image super-resolution, but little attention has been paid from the massive works of deep learning-based methods. In this work, we propose a ...

Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

For generations, agronomic knowledge has been produced on research stations like AU Flakkebjerg, where fields are designed to answer specific scientific questions. This is where agriculture became ...

Abstract: Achieving food security has become a major challenge for society. Crop yield estimation is essential for crop monitoring to ensure food security. Manual crop yield estimation is cumbersome ...

Buy-in-Bulk Active Learning. Liu Yang and Jaime Carbonell. Advances in Neural Information Processing Systems 26 (NIPS), 2013. Liu Yang, Avrim Blum and Jaime Carbonell. Learnability of DNF with ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Juneteenth is a day to celebrate with ribs and beer, as well as a day to look toward academic achievement, to include ...

Yi Chen Liu, Jiawei Yu, Kexin Cao, Syed Irfan Ali Meerza, Trishika Movva, Jian Liu A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine Learning Ding Chen, Xinwen Cheng, ...

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

Natural Language Processing (NLP) researchers study fundamental problems in automating textual and linguistic analysis, generation, representation, and acquisition. While NLP is applied in a huge ...