Mueen Uddin

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mueen Uddin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yuri Boykov

Papers from Mueen Uddin's perspective

Ordered by how strongly the researchers Mueen Uddin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Lazy snapping
  2. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
  3. Fast approximate energy minimization via graph cuts
  4. "GrabCut": interactive foreground extraction using iterated graph cuts
  5. Graph Cuts and Efficient N-D Image Segmentation (International Journal of Computer Vision)
  6. A method for initialising the K-means clustering algorithm using kd-trees (Pattern Recognition Letters)
  7. Improving fuzzy c-means clustering based on feature-weight learning (Pattern Recognition Letters)
  8. Survey of Medical Image Registration
  9. A review of automatic mass detection and segmentation in mammographic images (Medical Image Anal.)
  10. Seeded region growing: an extensive and comparative study (Pattern Recognition Letters)

Their papers