Abstract: A common task in image editing is to change the colours of a picture to match the desired colour grade of another picture. Finding the correct colour mapping is tricky because it involves ...

Linear Mapping: Backbone of ML Intuition (yes, even in deep learning) In machine learning, one concept often flies under the radar — but powers everything. Linear mapping. At its core, it’s ...

Many machine learning problems involve complex and non-linear relationships between input variables and output variables. For example, predicting the price of a house based on its features, or ...

Abstract: Conventional low-light image enhancement methods using linear mapping are simple but often result in poor visual quality due to their limited capability. While deep learning techniques have ...

Decoding spatial transcriptomes from single-cell RNA sequencing (scRNA-seq) data has become a fundamental technique for understanding multicellular systems; however, existing computational methods ...