Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputi


This is a great material for any computer scientist. Good material for students and professors who want and introduction or reinforcement from their knowledge. One person found this helpful 2 people found this helpful.

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Pattern Recognition

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Eigenproblems in Pattern Recognition (2005)

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This handbook brings together the most recent advances in the. Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics. Handbook of Geometric Computing: Applications in Pattern Recognition,. Computer Vision, Neuralcomputing, and Robotics. Handbook of Geometric Computing.

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Lawrence Staib, PhD > Image Processing and Analysis | Bioimaging Sciences | Yale School of Medicine

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If you are a seller for this product, would you like to suggest updates through seller support? Academic Radiology , Vessel connectivity using Murray's hypothesis. Staib is developing methods for the measurement and characterization of structure and function from images using machine learning and model-based approaches. Don't have an account? One person found this helpful 2 people found this helpful.

Corpus callosum in maltreated children with posttraumatic stress disorder: An integrated medical image analysis suite: Brain Shape Characterization from Deformation. White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Regional whole body fat quantification in mice. Inf Process Med Imaging. Articulated rigid registration for serial lower-limb mouse imaging. Characterizing vascular connectivity from microCT images. Neighbor-constrained segmentation with level set based 3-D deformable models. MR imaging of the temporal stem: Geometric strategies for neuroanatomic analysis from MRI.

Lawrence Staib, PhD

Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression. Neighbor-constrained segmentation with 3D deformable models. Entropy-based dual-portal-toDCT registration incorporating pixel correlation. Geometric Framework for Image Processing. Uncertainty Modeling and Geometric Inference. Uncertainty and Projective Geometry.

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