Nock, H.J.
Standard Author Listing
with: Adams, W.H.: Semantic Indexing of Multimedia Content Using Visual, Aud...
with: Iyengar, G.: Semantic Indexing of Multimedia Content Using Visual, Aud...
with: Lin, C.Y.: Semantic Indexing of Multimedia Content Using Visual, Audio...
with: Naphade, M.R.: Semantic Indexing of Multimedia Content Using Visual, A...
with: Neti, C.: Semantic Indexing of Multimedia Content Using Visual, Audio,...
with: Smith, J.R.: Semantic Indexing of Multimedia Content Using Visual, Aud...
Nock, R.
Standard Author Listing
with: Ali, W.B.H.: Biomedical Images Classification by Universal Nearest Nei...
with: Ali, W.B.H.: Boosting k-NN for Categorization of Natural Scenes
with: Ali, W.B.H.: Boosting Stochastic Newton with Entropy Constraint for La...
with: Ali, W.B.H.: Gentle Nearest Neighbors Boosting over Proper Scoring Rules
with: Ali, W.B.H.: Multi-class Leveraged k-NN for Image Classification
with: Barlaud, M.: Biomedical Images Classification by Universal Nearest Nei...
with: Barlaud, M.: Boosting Bayesian MAP Classification
with: Barlaud, M.: Boosting k-NN for Categorization of Natural Scenes
with: Barlaud, M.: Boosting Stochastic Newton with Entropy Constraint for La...
with: Barlaud, M.: Classification of biological cells using bio-inspired des...
with: Barlaud, M.: Gentle Nearest Neighbors Boosting over Proper Scoring Rules
with: Barlaud, M.: Multi-class Leveraged k-NN for Image Classification
with: Bel haj ali, W.: Classification of biological cells using bio-inspired...
with: Bouchon Meunier, B.: Twelve Numerical Symbolic and Hybrid Supervised C...
with: Caraux, G.: Twelve Numerical Symbolic and Hybrid Supervised Classifica...
with: d'Ambrosio, R.: Biomedical Images Classification by Universal Nearest ...
with: d'Ambrosio, R.: Gentle Nearest Neighbors Boosting over Proper Scoring ...
with: Fernando, B.: Min-Max Statistical Alignment for Transfer Learning
with: Fiorio, C.: Concentration-Based Adaptive Approach to Region Merging of...
with: Gallinari, P.: Twelve Numerical Symbolic and Hybrid Supervised Classif...
with: Garcia, V.: Levels of Details for Gaussian Mixture Models
with: Gascuel, O.: Twelve Numerical Symbolic and Hybrid Supervised Classific...
with: Giampaglia, D.: Classification of biological cells using bio-inspired ...
with: Guenoche, A.: Twelve Numerical Symbolic and Hybrid Supervised Classifi...
with: Guermeur, Y.: Twelve Numerical Symbolic and Hybrid Supervised Classifi...
with: Harandi, M.: Adaptive Subspaces for Few-Shot Learning
with: Harandi, M.: Min-Max Statistical Alignment for Transfer Learning
with: Harandi, M.: On Modulating the Gradient for Meta-learning
with: Harandi, M.: Siamese Networks: The Tale of Two Manifolds
with: Hartley, R.I.: Manifold Learning Benefits GANs
with: Hartley, R.I.: Siamese Networks: The Tale of Two Manifolds
with: Henry, C.: Soft memberships for spectral clustering, with application ...
with: Herath, S.: Min-Max Statistical Alignment for Transfer Learning
with: Koniusz, P.: Adaptive Subspaces for Few-Shot Learning
with: Koniusz, P.: Manifold Learning Benefits GANs
with: Koniusz, P.: On Modulating the Gradient for Meta-learning
with: Laur, P.A.: Mining evolving data streams for frequent patterns
with: Laur, P.A.: Statistical Borders for Incremental Mining
with: Lechevallier, Y.: Twelve Numerical Symbolic and Hybrid Supervised Clas...
with: Lefaucheur, P.: Robust Multiclass Ensemble Classifiers via Symmetric F...
with: Marsala, C.: Twelve Numerical Symbolic and Hybrid Supervised Classific...
with: Menon, A.K.: Making Deep Neural Networks Robust to Label Noise: A Loss...
with: Miclet, L.: Twelve Numerical Symbolic and Hybrid Supervised Classifica...
with: Muzellec, B.: Classification with mixtures of curved Mahalanobis metrics
with: Ni, Y.: Manifold Learning Benefits GANs
with: Nicolas, J.: Twelve Numerical Symbolic and Hybrid Supervised Classific...
with: Nielsen, F.: Biomedical Images Classification by Universal Nearest Nei...
with: Nielsen, F.: Boosting Bayesian MAP Classification
with: Nielsen, F.: Boosting k-NN for Categorization of Natural Scenes
with: Nielsen, F.: Bregman Divergences and Surrogates for Learning
with: Nielsen, F.: Bregman sided and symmetrized centroids
with: Nielsen, F.: Classification with mixtures of curved Mahalanobis metrics
with: Nielsen, F.: Clustering Multivariate Normal Distributions
with: Nielsen, F.: Consensus Region Merging for Image Segmentation
with: Nielsen, F.: Entropies and cross-entropies of exponential families
with: Nielsen, F.: Generalizing Skew Jensen Divergences and Bregman Divergen...
with: Nielsen, F.: Gentle Nearest Neighbors Boosting over Proper Scoring Rules
with: Nielsen, F.: Grouping with bias revisited
with: Nielsen, F.: Improving clustering algorithms through constrained conve...
with: Nielsen, F.: Interactive Pinpoint Image Object Removal
with: Nielsen, F.: Interactive Point-and-Click Segmentation for Object Remov...
with: Nielsen, F.: Intrinsic Geometries in Learning
with: Nielsen, F.: Levels of Details for Gaussian Mixture Models
with: Nielsen, F.: MaxEnt Upper Bounds for the Differential Entropy of Univa...
with: Nielsen, F.: Multi-class Leveraged k-NN for Image Classification
with: Nielsen, F.: On region merging: the statistical soundness of fast sort...
with: Nielsen, F.: On the chi square and higher-order chi distances for appr...
with: Nielsen, F.: On the efficient minimization of convex surrogates in sup...
with: Nielsen, F.: On Weighting Clustering
with: Nielsen, F.: Optimal Interval Clustering: Application to Bregman Clust...
with: Nielsen, F.: Semi-supervised statistical region refinement for color i...
with: Nielsen, F.: Soft memberships for spectral clustering, with applicatio...
with: Nielsen, F.: Statistical Region Merging
with: Page, V.: Grouping with bias for distribution-free mixture model estim...
with: Patrini, G.: Making Deep Neural Networks Robust to Label Noise: A Loss...
with: Piro, P.: Boosting Bayesian MAP Classification
with: Piro, P.: Boosting k-NN for Categorization of Natural Scenes
with: Piro, P.: Classification of biological cells using bio-inspired descri...
with: Piro, P.: Multi-class Leveraged k-NN for Image Classification
with: Poncelet, P.: Mining evolving data streams for frequent patterns
with: Poncelet, P.: Statistical Borders for Incremental Mining
with: Pourcher, T.: Classification of biological cells using bio-inspired de...
with: Qu, L.Z.: Making Deep Neural Networks Robust to Label Noise: A Loss Co...
with: Ramdani, M.: Twelve Numerical Symbolic and Hybrid Supervised Classific...
with: Roy, S.: Siamese Networks: The Tale of Two Manifolds
with: Rozza, A.: Making Deep Neural Networks Robust to Label Noise: A Loss C...
with: Sebag, M.: Twelve Numerical Symbolic and Hybrid Supervised Classificat...
with: Sebban, M.: Bayesian boosting theorem, A
with: Sebban, M.: hybrid filter/wrapper approach of feature selection using ...
with: Sebban, M.: improved bound on the finite-sample risk of the nearest ne...
with: Simon, C.: Adaptive Subspaces for Few-Shot Learning
with: Simon, C.: On Modulating the Gradient for Meta-learning
with: Soda, P.: Biomedical Images Classification by Universal Nearest Neighb...
with: Symphor, J.E.: Mining evolving data streams for frequent patterns
with: Symphor, J.E.: Statistical Borders for Incremental Mining
with: Tallur, B.: Twelve Numerical Symbolic and Hybrid Supervised Classifica...
with: Vaillant, P.: Soft memberships for spectral clustering, with applicati...
with: Venturini, G.: Twelve Numerical Symbolic and Hybrid Supervised Classif...
with: Vitte, P.: Twelve Numerical Symbolic and Hybrid Supervised Classificat...
99 for Nock, R.
Nock, V.
Standard Author Listing
with: Bishop, H.: Pillar Centroid Tracker for the Measurement of Protrusive ...
with: Garrill, A.: Pillar Centroid Tracker for the Measurement of Protrusive...
with: Sun, Y.L.: Pillar Centroid Tracker for the Measurement of Protrusive F...
with: Tayagui, A.: Pillar Centroid Tracker for the Measurement of Protrusive...
Nocke, T.
Standard Author Listing
with: Eichner, C.: Interactive Presentation of Geo-Spatial Climate Data in M...
with: Radloff, A.: Supporting presentation and discussion of visualization r...
with: Schulz, H.J.: Interactive Presentation of Geo-Spatial Climate Data in ...
with: Schumann, H.: Interactive Presentation of Geo-Spatial Climate Data in ...
with: Schumann, H.: Supporting presentation and discussion of visualization ...
with: Tominski, C.: Supporting presentation and discussion of visualization ...