In 2014, Experian Marketing Services released research identifying six distinct deal-seeking consumer segments. The ...

Multimodal remote sensing data, acquired from diverse sensors, offer a comprehensive and integrated perspective of the Earth’s surface. Leveraging multimodal fusion techniques, semantic segmentation ...

As a successful Creative Director at Inkbot Design, I've seen firsthand the immense impact effective market segmentation can have on a business. It's a powerful strategy that can unlock new growth ...

Abstract: We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics. Existing fusion-based ...

This valuable study tests whether prediction error or prediction uncertainty controls how the brain segments continuous experience into events. The paper uses ...

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...

Objective: Accurate anterior visual pathway (AVP) segmentation is vital for clinical applications, but manual delineation is time-consuming and resource-intensive. We aim to explore the feasibility of ...

I wonder if it is only me struggling with system errors like Segmentation faults even on basic pipelines from example: ...

Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...

This work describes a new software platform for machine-learning-based segmentation of and particle-picking in cryo-electron tomograms. The program and its corresponding online database of trained ...