Nock, H.J.[Harriet J.]
Co Author Listing * Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
Nock, R.
Co Author Listing * Adaptive Subspaces for Few-Shot Learning
* Bayesian boosting theorem, A
* Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability
* Boosting Bayesian MAP Classification
* Boosting k-NN for Categorization of Natural Scenes
* Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification
* Bregman Divergences and Surrogates for Learning
* Bregman sided and symmetrized centroids
* Classification of biological cells using bio-inspired descriptors
* Classification with mixtures of curved Mahalanobis metrics
* Clustering Multivariate Normal Distributions
* Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities, A
* Consensus Region Merging for Image Segmentation
* Entropies and cross-entropies of exponential families
* Fast and Reliable Color Region Merging Inspired by Decision Tree Pruning
* Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity
* Gentle Nearest Neighbors Boosting over Proper Scoring Rules
* Grouping with bias for distribution-free mixture model estimation
* Grouping with bias revisited
* hybrid filter/wrapper approach of feature selection using information theory, A
* improved bound on the finite-sample risk of the nearest neighbor rule, An
* Improving clustering algorithms through constrained convex optimization
* Interactive Pinpoint Image Object Removal
* Interactive Point-and-Click Segmentation for Object Removal in Digital Images
* Intrinsic Geometries in Learning
* Levels of Details for Gaussian Mixture Models
* Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
* Manifold Learning Benefits GANs
* MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions
* Min-Max Statistical Alignment for Transfer Learning
* Mining evolving data streams for frequent patterns
* Multi-class Leveraged k-NN for Image Classification
* On Modulating the Gradient for Meta-learning
* On region merging: the statistical soundness of fast sorting, with applications
* On the chi square and higher-order chi distances for approximating f-divergences
* On the efficient minimization of convex surrogates in supervised learning
* On Weighting Clustering
* Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning
* Robust Multiclass Ensemble Classifiers via Symmetric Functions
* Semi-supervised statistical region refinement for color image segmentation
* Siamese Networks: The Tale of Two Manifolds
* Soft memberships for spectral clustering, with application to permeable language distinction
* Statistical Borders for Incremental Mining
* Statistical Region Merging
* Twelve Numerical Symbolic and Hybrid Supervised Classification Methods
Includes: Nock, R. Nock, R.[Richard]
45 for Nock, R.
Nock, V.[Volker]
Co Author Listing * Pillar Centroid Tracker for the Measurement of Protrusive Forces Generated by Hyphal Microorganisms
Nocke, T.[Thomas]
Co Author Listing * Interactive Presentation of Geo-Spatial Climate Data in Multi-Display Environments
* Supporting presentation and discussion of visualization results in smart meeting rooms