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Found 5 papers, 5 papers with code
Label Consistent Fisher Vectors for Supervised Feature Aggregation
In this paper, we present a simple and efficient way to add supervised information into Fisher vectors, which has become a popular image representation method for image classification and retrieval purposes in recent years.
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities.
Feature Learning by Multidimensional Scaling and its Applications in Object Recognition
The aspects of the images that are captured by the learned features, which we call MDS features, completely depend on what kind of image distance measurement is employed.
The active geometric shape model: A new robust deformable shape model and its applications
Similar to active shape models and active contours, a force field is used in our approach.
Tracking Tetrahymena Pyriformis Cells using Decision Trees
Matching cells over time has long been the most difficult step in cell tracking.
