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Found 5 papers, 0 papers with code
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
NPD algorithm uses a neural network to estimate reference planes for points in noisy point clouds.
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel
We present a new smooth, Gaussian-like kernel that allows the kernel density estimate for an angular distribution to be exactly represented by a finite number of its Fourier series coefficients.
Robust hyperspectral image classification with rejection fields
We validate our method in real hyperspectral data and show that the performance gains obtained from the rejection fields are equivalent to an increase the dimension of the training sets.
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization
We present a supervised hyperspectral image segmentation algorithm based on a convex formulation of a marginal maximum a posteriori segmentation with hidden fields and structure tensor regularization: Segmentation via the Constraint Split Augmented Lagrangian Shrinkage by Structure Tensor Regularization (SegSALSA-STR).
Performance measures for classification systems with rejection
Classifiers with rejection are essential in real-world applications where misclassifications and their effects are critical.
