Pamela Weber Harris , a former high school math teacher contends in a new volume, Developing Mathematical Reasoning: Avoiding ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

These algorithms are typically concerned with representation and generalization of the input data. An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

The conventional approach is to find a suboptimal solution using the semi-definite relaxation (SDR) technique, yet the resultant suboptimal iterative algorithm usually ... is trained offline using the ...

The query images are presented in green borders and wrong results in red borders. The first line represents the original retrieval results and the second line, the results after the algorithm ...

Abstract: This article intends to propose a technique for categorizing 3D deformable objects from unprocessed single-view images. The proposed technique is built on an autoencoder, which considers the ...