Digital marketing strategies that use multiple channels and layers of data offer a structured way to find, qualify, and ...

Customer segmentation is one of the most powerful strategies in ecommerce, but it’s also one of the most misunderstood.

The dealings that have been revealed between Cambridge Analytica and Facebook have all the trappings of a Hollywood thriller: a Bond villain-style CEO, a reclusive billionaire, a naïve and conflicted ...

Google clarifies campaign consolidation guidance, saying performance and business logic matter more than legacy granularity ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Not all clicks are equal. A repeat buyer, a first-time visitor and a lapsed customer should be treated differently.

This is an implementation of UNSEG on Python 3 with using scikit-image, OpenCV, scikit-learn, and SciPy. The algorithm generates two mutually-consistent segmentation masks for cells and their nuclei ...

Personalization may be the promise, but the retail experience that customers get from their favorite brands often tells a different story.

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

🔥 Welcome to check out our latest work: Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models! 🔥 Delighted to announce that ours work HQCLIP: ...

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...

Abstract: Unsupervised domain adaptation(UDA) aims to mitigate the performance drop of models tested on the target domain, due to the domain shift from the target to sources. Most UDA segmentation ...