Buhmann, J.
Standard Author Listing
with: Froehlinghaus, T.: Regularizing Phase Based Stereo
Buhmann, J.M.
Standard Author Listing
with: Aguzzi, A.: Randomized Tree Ensembles for Object Detection in Computat...
with: Bauer, S.: Model Selection for Gaussian Process Regression
with: Bay, H.: Dense Stereo by Triangular Meshing and Cross Validation
with: Belongie, S.J.: Model Order Selection and Cue Combination for Image Se...
with: Bian, A.A.: Model Selection for Gaussian Process Regression
with: Braendle, S.: Bayesian Order-Adaptive Clustering for Video Segmentation
with: Braun, M.L.: Model Selection in Kernel Methods Based on a Spectral Ana...
with: Brodersen, K.H.: Balanced Accuracy and Its Posterior Distribution, The
with: Brodersen, K.H.: Binormal Assumption on Precision-Recall Curves, The
with: Busse, L.: Approximate Sorting
with: Chehreghani, M.H.: Approximate Sorting
with: Chen, W.J.: New Distance Measure for Probabilistic Shape Modeling, A
with: Coetzee, F.: Topology Free Hidden Markov Models: Application to Backgr...
with: Dikk, T.: Learning Dictionaries With Bounded Self-Coherence
with: Einhauser, W.: Automatic Detection of Learnability under Unreliable an...
with: Fellner, D.: On Spatial Quantization of Color Images
with: Ferrari, V.: Active learning for semantic segmentation with expected c...
with: Ferrari, V.: Weakly supervised semantic segmentation with a multi-imag...
with: Ferrari, V.: Weakly supervised structured output learning for semantic...
with: Fischer, B.: Bagging for path-based clustering
with: Fischer, B.: Data Resampling for Path Based Clustering
with: Fischer, B.: Dense Stereo by Triangular Meshing and Cross Validation
with: Fischer, B.: Model Selection for Gaussian Process Regression
with: Fischer, B.: Path Based Pairwise Data Clustering with Application to T...
with: Fischer, B.: Path-based clustering for grouping of smooth curves and t...
with: Fischer, B.: Perceptual Grouping by Path Based Clustering
with: Fischer, B.: Probabilistic De Novo Peptide Sequencing with Doubly Char...
with: Fischer, B.: Probabilistic image registration and anomaly detection by...
with: Fuchs, T.: Neuron geometry extraction by perceptual grouping in ssTEM ...
with: Fuchs, T.J.: Computational TMA Analysis and Cell Nucleus Classificatio...
with: Fuchs, T.J.: Inter-active learning of randomized tree ensembles for ob...
with: Fuchs, T.J.: Randomized Tree Ensembles for Object Detection in Computa...
with: Fuchs, T.J.: Weakly Supervised Cell Nuclei Detection and Segmentation ...
with: Giuliari, G.: Entrack: A Data-Driven Maximum-Entropy Approach to Fiber...
with: Gorbach, N.S.: Model Selection for Gaussian Process Regression
with: Haybaeck, J.: Randomized Tree Ensembles for Object Detection in Comput...
with: Heikenwalder, M.: Randomized Tree Ensembles for Object Detection in Co...
with: Held, M.: On Spatial Quantization of Color Images
with: Hermes, L.: Combined color and texture segmentation by parametric dist...
with: Hermes, L.: Contextual Classification by Entropy-Based Polygonization
with: Hermes, L.: Feature Selection for Support Vector Machines
with: Hermes, L.: minimum entropy approach to adaptive image polygonization, A
with: Hermes, L.: On Learning Texture Edge Detectors
with: Hermes, L.: Parametric Distributional Clustering for Image Segmentation
with: Hofmann, T.: Deterministic Annealing Framework for Unsupervised Textu...
with: Hofmann, T.: Histogram Clustering for Unsupervised Image Segmentation
with: Hofmann, T.: Histogram clustering for unsupervised segmentation and im...
with: Hofmann, T.: maximum entropy approach to pairwise data clustering, A
with: Hofmann, T.: Non-Parametric Similarity Measures for Unsupervised Textu...
with: Hofmann, T.: Optimization Approach to Unsupervised Hierarchical Textur...
with: Hofmann, T.: Pairwise Data Clustering by Deterministic Annealing
with: Hofmann, T.: theory of proximity based clustering: structure detection...
with: Hofmann, T.: Unsupervised Segmentation of Textured Images by Pairwise ...
with: Hofmann, T.: Unsupervised Texture Segmentation in a Deterministic Anne...
with: Horold, M.: Generative Aging of Brain MR-Images and Prediction of Alzh...
with: Jain, A.K.: Landscape of clustering algorithms
with: Jain, A.K.: Learning with Constrained and Unlabelled Data
with: Kawanabe, M.: Optimal Cluster Preserving Embedding of Nonmetric Proxim...
with: Kaynig, V.: Neuron geometry extraction by perceptual grouping in ssTEM...
with: Kaynig, V.: Probabilistic image registration and anomaly detection by ...
with: Ketterer, J.: On Spatial Quantization of Color Images
with: Klock, H.J.: Data Visualization by Multidimensional Scaling: A Determi...
with: Klock, H.J.: Region-Based Motion Compensated 3D-Wavelet Transform Codi...
with: Klock, H.J.: Video-Coding by Region-Based Motion Compensation and Spat...
with: Kobayashi, S.: Wheel Defect Detection With Machine Learning
with: Koller, S.: Wheel Defect Detection With Machine Learning
with: Konen, W.: Distortion Invariant Object Recognition in the Dynamic Link...
with: Krummenacher, G.: Wheel Defect Detection With Machine Learning
with: Lades, M.: Distortion Invariant Object Recognition in the Dynamic Link...
with: Lange, J.: Distortion Invariant Object Recognition in the Dynamic Link...
with: Lange, T.: Learning with Constrained and Unlabelled Data
with: Lange, T.: Model Order Selection and Cue Combination for Image Segment...
with: Lange, T.: Model Selection in Kernel Methods Based on a Spectral Analy...
with: Lange, T.: Regularized Data Fusion Improves Image Segmentation
with: Lange, T.: Weakly Supervised Cell Nuclei Detection and Segmentation on...
with: Laptev, D.: Convolutional Decision Trees for Feature Learning and Segm...
with: Laptev, D.: TI-POOLING: Transformation-Invariant Pooling for Feature L...
with: Laptev, D.: Transformation-Invariant Convolutional Jungles
with: Laub, J.: On the information and representation of non-Euclidean pairw...
with: Laub, J.: Optimal Cluster Preserving Embedding of Nonmetric Proximity ...
with: Law, M.H.C.: Landscape of clustering algorithms
with: Law, M.H.C.: Learning with Constrained and Unlabelled Data
with: Mader, T.: Seeing the Objects Behind the Dots: Recognition in Videos f...
with: Mahapatra, D.: Automatic Detection and Segmentation of Crohn's Disease...
with: Mahapatra, D.: Boosting Convolutional Filters with Entropy Sampling fo...
with: Mahapatra, D.: Cardiac LV and RV Segmentation Using Mutual Context Inf...
with: Mahapatra, D.: Visual Saliency Based Active Learning for Prostate MRI ...
with: Makanyanga, J.C.: Automatic Detection and Segmentation of Crohn's Dise...
with: Moch, H.: Randomized Tree Ensembles for Object Detection in Computatio...
with: Moch, H.: Weakly Supervised Cell Nuclei Detection and Segmentation on ...
with: Moh, Y.: Automatic Detection of Learnability under Unreliable and Spar...
with: Muller, K.R.: On the information and representation of non-Euclidean p...
with: Ommer, B.: Compositional Object Recognition, Segmentation, and Trackin...
with: Ommer, B.: Learning Compositional Categorization Models
with: Ommer, B.: Learning the Compositional Nature of Visual Object Categori...
with: Ommer, B.: Learning the Compositional Nature of Visual Objects
with: Ommer, B.: Learning Top-Down Grouping of Compositional Hierarchies for...
with: Ommer, B.: Object Categorization by Compositional Graphical Models
with: Ommer, B.: Seeing the Objects Behind the Dots: Recognition in Videos f...
with: Ong, C.S.: Balanced Accuracy and Its Posterior Distribution, The
with: Ong, C.S.: Binormal Assumption on Precision-Recall Curves, The
with: Ong, C.S.: Computational TMA Analysis and Cell Nucleus Classification ...
with: Ong, C.S.: Wheel Defect Detection With Machine Learning
with: Orbanz, P.: Bayesian Order-Adaptive Clustering for Video Segmentation
with: Orbanz, P.: Nonparametric Bayesian Image Segmentation
with: Orbanz, P.: Smooth Image Segmentation by Nonparametric Bayesian Infere...
with: Paragios, N.: Topology Free Hidden Markov Models: Application to Backg...
with: Peter, H.: Probabilistic De Novo Peptide Sequencing with Doubly Charge...
with: Pollefeys, M.: TI-POOLING: Transformation-Invariant Pooling for Featur...
with: Polzer, A.: Region-Based Motion Compensated 3D-Wavelet Transform Codin...
with: Polzer, A.: Video-Coding by Region-Based Motion Compensation and Spati...
with: Puzicha, J.: Deterministic Annealing Framework for Unsupervised Textu...
with: Puzicha, J.: Empirical Evaluation of Dissimilarity Measures for Color ...
with: Puzicha, J.: Histogram Clustering for Unsupervised Image Segmentation
with: Puzicha, J.: Histogram clustering for unsupervised segmentation and im...
with: Puzicha, J.: Multiscale Annealing for Grouping and Unsupervised Textur...
with: Puzicha, J.: Multiscale Annealing for Real-Time Unsupervised Texture S...
with: Puzicha, J.: Non-Parametric Similarity Measures for Unsupervised Textu...
with: Puzicha, J.: On Learning Texture Edge Detectors
with: Puzicha, J.: On Spatial Quantization of Color Images
with: Puzicha, J.: Optimization Approach to Unsupervised Hierarchical Textur...
with: Puzicha, J.: theory of proximity based clustering: structure detection...
with: Puzicha, J.: Unsupervised Segmentation of Textured Images by Pairwise ...
with: Puzicha, J.: Unsupervised Texture Segmentation in a Deterministic Anne...
with: Rabinovich, A.: Model Order Selection and Cue Combination for Image Se...
with: Ramesh, V.: Topology Free Hidden Markov Models: Application to Backgro...
with: Roth, V.: Computational TMA Analysis and Cell Nucleus Classification o...
with: Roth, V.: On the information and representation of non-Euclidean pairw...
with: Roth, V.: Optimal Cluster Preserving Embedding of Nonmetric Proximity ...
with: Rubner, Y.: Empirical Evaluation of Dissimilarity Measures for Color a...
with: Sahin, A.: Instance Segmentation for the Quantification of Microplasti...
with: Sauter, M.: Learning Top-Down Grouping of Compositional Hierarchies fo...
with: Savinov, N.: TI-POOLING: Transformation-Invariant Pooling for Feature ...
with: Schuffler, P.J.: Automatic Detection and Segmentation of Crohn's Disea...
with: Schuffler, P.J.: Computational TMA Analysis and Cell Nucleus Classific...
with: Sigg, C.D.: Learning Dictionaries With Bounded Self-Coherence
with: Stenger, B.: Topology Free Hidden Markov Models: Application to Backgr...
with: Stephan, K.E.: Balanced Accuracy and Its Posterior Distribution, The
with: Stephan, K.E.: Binormal Assumption on Precision-Recall Curves, The
with: Stoker, J.: Automatic Detection and Segmentation of Crohn's Disease Ti...
with: Sæmundsson, B.: Instance Segmentation for the Quantification of Microp...
with: Taylor, S.A.: Automatic Detection and Segmentation of Crohn's Disease ...
with: Tielbeek, J.A.W.: Automatic Detection and Segmentation of Crohn's Dise...
with: Tomasi, C.: Empirical Evaluation of Dissimilarity Measures for Color a...
with: Topchy, A.P.: Landscape of clustering algorithms
with: Vezhnevets, A.: Active learning for semantic segmentation with expecte...
with: Vezhnevets, A.: Agnostic Domain Adaptation
with: Vezhnevets, A.: Towards weakly supervised semantic segmentation by mea...
with: Vezhnevets, A.: Weakly supervised semantic segmentation with a multi-i...
with: Vezhnevets, A.: Weakly supervised structured output learning for seman...
with: von der Malsburg, C.: Distortion Invariant Object Recognition in the D...
with: von der Malsburg, C.: Sensory Segmentation with Coupled Neural Oscilla...
with: Vorbruggen, J.C.: Distortion Invariant Object Recognition in the Dynam...
with: Vos, F.M.: Automatic Detection and Segmentation of Crohn's Disease Tis...
with: Wegmayr, V.: Entrack: A Data-Driven Maximum-Entropy Approach to Fiber ...
with: Wegmayr, V.: Entrack: Probabilistic Spherical Regression with Entropy ...
with: Wegmayr, V.: Generative Aging of Brain MR-Images and Prediction of Alz...
with: Wegmayr, V.: Instance Segmentation for the Quantification of Microplas...
with: Wey, P.: Dense Stereo by Triangular Meshing and Cross Validation
with: Wild, P.J.: Randomized Tree Ensembles for Object Detection in Computat...
with: Wild, P.J.: Weakly Supervised Cell Nuclei Detection and Segmentation o...
with: Will, S.: On Learning Texture Edge Detectors
with: Wurtz, R.P.: Distortion Invariant Object Recognition in the Dynamic Li...
with: Zilly, J.G.: Boosting Convolutional Filters with Entropy Sampling for ...
with: Zoller, T.: Active Learning for Hierarchical Pairwise Data Clustering
with: Zoller, T.: Combined color and texture segmentation by parametric dist...
with: Zoller, T.: Parametric Distributional Clustering for Image Segmentation
with: Zoller, T.: Path Based Pairwise Data Clustering with Application to Te...
with: Zoller, T.: Perceptual Grouping by Path Based Clustering
with: Zoller, T.: Robust Image Segmentation Using Resampling and Shape Const...
with: Zoller, T.: Selforganized Clustering of Mixture Models for Combined Co...
with: Zoller, T.: Shape constrained image segmentation by parametric distrib...
181 for Buhmann, J.M.