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Compassionately Conservative Balanced Cuts for Image Segmentation
The Normalized Cut (NCut) objective function, widely used in data clustering and image segmentation, quantifies the cost of graph partitioning in a way that biases clusters or segments that are balanced towards having lower values than unbalanced partitionings.
Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation
Image segmentation is a popular area of research in computer vision that has many applications in automated image processing.
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