Classification is the process of grouping items into categories. Classification problems can be naturally modeled hierarchically, typically in the tree or directed acyclic graph...
The correspondence problem of visual alignment is one that computer vision algorithms must solve for many different applications.It's considered a critical element in Optical...
Generative Adversarial Networks (GANs) are a novel approach to Generative Modeling using deep learning methods, such as convolutional neural networks (1). A Generative Adversarial...
Data augmentation
Data augmentation in machine learning is a technique that helps reduce overfitting. It increases the amount of data by adding slightly modified copies...
Multi-object tracking (MOT) involves identifying and following objects as they move about in videos. Currently, available methods obtain identities by associating detection boxes whose...
Intel's principal AI researcher, recently published an article on LinkedIn with the news of the public release of ControlFlag, their machine learning-based software that...
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