Snape, P.[Patrick]
* 2014: Kernel-PCA Analysis of Surface Normals for Shape-from-Shading
* 2015: Automatic construction of robust spherical harmonic subspaces
* 2015: Face Flow
* 2015: Offline Deformable Face Tracking in Arbitrary Videos
* 2016: Adaptive cascaded regression
* 2016: robust similarity measure for volumetric image registration with outliers, A
* 2017: DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
* 2017: Face Normals In-the-Wild Using Fully Convolutional Networks
* 2017: Learning the Multilinear Structure of Visual Data
* 2018: Comprehensive Performance Evaluation of Deformable Face Tracking In-the-Wild, A
* 2018: Disentangling the Modes of Variation in Unlabelled Data
* 2022: AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
Includes: Snape, P.[Patrick] Snape, P.
12 for Snape, P.
Snaphaan, T.[Thom]
* 2021: Do Mobile Phone Data Provide a Better Denominator in Crime Rates and Improve Spatiotemporal Predictions of Crime?
Snapir, B.
* 2014: Roughness measurements over an agricultural soil surface with Structure from Motion
* 2014: System Design for Geosynchronous Synthetic Aperture Radar Missions
* 2019: Maritime Vessel Classification to Monitor Fisheries with SAR: Demonstration in the North Sea
Includes: Snapir, B. Snapir, B.[Boris]
Snapp, R.R.[Robert R.]
* 1994: Asymptotic predictions of the finite-sample risk of the k-nearest-neighbor classifier
* 1998: Labelled Cell Classifier: A Fast Approximation to k Nearest Neighbors, The
* 2006: Accelerated Kernel Feature Analysis
Snapp, S.[Sieglinde]
* 2022: Modeling Spatiotemporal Patterns of Land Use/Land Cover Change in Central Malawi Using a Neural Network Model
Snapper, E.
* 1971: Metric Affine Geometry