Index for loog

Loog, M. Standard Author Listing
     with: Abramoff, M.D.: On Combining Computer-Aided Detection Systems
     with: Alpaydin, E.: Single- vs. multiple-instance classification
     with: Arnavaz, K.: Bayesian Active Learning for Maximal Information Gain on ...
     with: Arnold, T.: Multi-spectral video endoscopy system for the detection of...
     with: Bai, X.: Editorial of the Special Issue on Multi-instance Learning in ...
     with: Bartoli, A.E.: Stratified Generalized Procrustes Analysis
     with: Bekkers, E.J.: Optic Nerve Head Detection via Group Correlations in Mu...
     with: Bekkers, E.J.: Template Matching via Densities on the Roto-Translation...
     with: Bekkers, E.J.: Training of Templates for Object Recognition in Inverti...
     with: Bellani, M.: Dissimilarity-based detection of schizophrenia
     with: Bicego, M.: Dissimilarity-based detection of schizophrenia
     with: Bicego, M.: dissimilarity-based multiple instance learning approach fo...
     with: Bicego, M.: Metric Learning in Dissimilarity Space for Improved Neares...
     with: Bicego, M.: Protein Remote Homology Detection Using Dissimilarity-Base...
     with: Bicego, M.: Weighted K-Nearest Neighbor revisited
     with: Bottarelli, L.: Gaussian process variance reduction by location select...
     with: Bottarelli, L.: Gradient Descent for Gaussian Processes Variance Reduc...
     with: Brambilla, P.: Dissimilarity-based detection of schizophrenia
     with: Brandt, S.S.: Dense iterative contextual pixel classification using Kr...
     with: Castellani, U.: Dissimilarity-based detection of schizophrenia
     with: Cerruti, S.: Dissimilarity-based detection of schizophrenia
     with: Chen, C.: Bicycle chain shape models
     with: Cheplygina, V.: Class-Dependent Dissimilarity Measures for Multiple In...
     with: Cheplygina, V.: Classification of COPD with Multiple Instance Learning
     with: Cheplygina, V.: Does one rotten apple spoil the whole barrel?
     with: Cheplygina, V.: Multiple instance learning with bag dissimilarities
     with: Cheplygina, V.: Network-Guided Group Feature Selection for Classificat...
     with: Cheplygina, V.: On classification with bags, groups and sets
     with: Cheplygina, V.: Single- vs. multiple-instance classification
     with: Chernoff, K.: Metric learning by directly minimizing the k-NN training...
     with: Dam, E.: Integrating automatic and interactive brain tumor segmentation
     with: Dam, E.B.: Efficient Segmentation by Sparse Pixel Classification
     with: de Biasio, M.: Multi-spectral video endoscopy system for the detection...
     with: de Bruijne, M.: Bicycle chain shape models
     with: de Bruijne, M.: Classification of COPD with Multiple Instance Learning
     with: de Ridder, D.: Local Discriminant Analysis
     with: de Ridder, D.: Local Fisher Embedding
     with: Dinh, C.V.: Clustering Based Method for Edge Detection in Hyperspectra...
     with: Dinh, C.V.: FIDOS: A generalized Fisher based feature extraction metho...
     with: Dinh, C.V.: Multi-spectral video endoscopy system for the detection of...
     with: Dinh, C.V.: SEDMI: Saliency based edge detection in multispectral images
     with: Dinh, C.V.: study on semi-supervised dissimilarity representation, A
     with: Dinh, C.V.: Training data selection for cancer detection in multispect...
     with: Duin, R.P.W.: Automated classification of local patches in colon histo...
     with: Duin, R.P.W.: Clustering Based Method for Edge Detection in Hyperspect...
     with: Duin, R.P.W.: Combining multi-scale dissimilarities for image classifi...
     with: Duin, R.P.W.: Compact Representation of Multiscale Dissimilarity Data ...
     with: Duin, R.P.W.: Dimensionality Reduction by Canonical Contextual Correla...
     with: Duin, R.P.W.: Dimensionality reduction of image features using the can...
     with: Duin, R.P.W.: Dipping Phenomenon, The
     with: Duin, R.P.W.: Dissimilarity-based detection of schizophrenia
     with: Duin, R.P.W.: Feature-Based Dissimilarity Space Classification
     with: Duin, R.P.W.: FIDOS: A generalized Fisher based feature extraction met...
     with: Duin, R.P.W.: Linear Dimensionality Reduction via a Heteroscedastic Ex...
     with: Duin, R.P.W.: Metric Learning in Dissimilarity Space for Improved Near...
     with: Duin, R.P.W.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
     with: Duin, R.P.W.: Multi-class Linear Feature Extraction by Nonlinear PCA
     with: Duin, R.P.W.: Multi-spectral video endoscopy system for the detection ...
     with: Duin, R.P.W.: Multiclass Linear Dimension Reduction by Weighted Pairwi...
     with: Duin, R.P.W.: Multiple-instance learning as a classifier combining pro...
     with: Duin, R.P.W.: Recent submissions in linear dimensionality reduction an...
     with: Duin, R.P.W.: SEDMI: Saliency based edge detection in multispectral im...
     with: Duin, R.P.W.: study on semi-supervised dissimilarity representation, A
     with: Duin, R.P.W.: Supervised localization of cell nuclei on TMA images
     with: Duin, R.P.W.: Training data selection for cancer detection in multispe...
     with: Duistermaat, J.J.: On the behavior of spatial critical points under Ga...
     with: Duits, R.: Optic Nerve Head Detection via Group Correlations in Multi-...
     with: Duits, R.: Template Matching via Densities on the Roto-Translation Group
     with: Duits, R.: Training of Templates for Object Recognition in Invertible ...
     with: Feragen, A.: Bayesian Active Learning for Maximal Information Gain on ...
     with: Feragen, A.: Network-Guided Group Feature Selection for Classification...
     with: Florack, L.M.J.: On the behavior of spatial critical points under Gaus...
     with: Fred, A.L.N.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
     with: Ganz, M.: Dense iterative contextual pixel classification using Kriging
     with: Garcia Reyes, E.: Compact Representation of Multiscale Dissimilarity D...
     with: Haeb Umbach, R.: Multi-class Linear Feature Extraction by Nonlinear PCA
     with: Haeb Umbach, R.: Multiclass Linear Dimension Reduction by Weighted Pai...
     with: Ho, T.K.: Improving cross-validation based classifier selection using ...
     with: Ho, T.K.: Recent submissions in linear dimensionality reduction and fa...
     with: Ibba, A.: Supervised localization of cell nuclei on TMA images
     with: Jensen, A.C.: Constrained Log-Likelihood-Based Semi-supervised Linear ...
     with: Jensen, A.C.: Forming Different-Complexity Covariance-Model Subspaces ...
     with: Jensen, A.C.: Using Multiscale Spectra in Regularizing Covariance Matr...
     with: Jurgensen, D.R.: Bicycle chain shape models
     with: Kalkan, H.: Automated classification of local patches in colon histopa...
     with: Kim, S.W.: Metric Learning in Dissimilarity Space for Improved Nearest...
     with: Kouw, W.: Effects of sampling skewness of the importance-weighted risk...
     with: Kouw, W.M.: On regularization parameter estimation under covariate shift
     with: Kouw, W.M.: Review of Domain Adaptation without Target Labels, A
     with: Kouw, W.M.: Robust domain-adaptive discriminant analysis
     with: Krause, O.: Bayesian Active Learning for Maximal Information Gain on M...
     with: Krijthe, J.H.: Improving cross-validation based classifier selection u...
     with: Krijthe, J.H.: Optimistic semi-supervised least squares classification
     with: Krijthe, J.H.: Peaking Phenomenon in Semi-supervised Learning, The
     with: Krijthe, J.H.: Robust semi-supervised least squares classification by ...
     with: Krythe, J.H.: Implicitly Constrained Semi-supervised Linear Discrimina...
     with: Lauze, F.: Bicycle chain shape models
     with: Lauze, F.: Blur Invariant Image Priors
     with: Lauze, F.: Improbability of Harris Interest Points, The
     with: Leitner, R.: Clustering Based Method for Edge Detection in Hyperspectr...
     with: Leitner, R.: Multi-spectral video endoscopy system for the detection o...
     with: Leitner, R.: SEDMI: Saliency based edge detection in multispectral ima...
     with: Leitner, R.: Training data selection for cancer detection in multispec...
     with: Letteboer, M.: Integrating automatic and interactive brain tumor segme...
     with: Li, Y.: Combining multi-scale dissimilarities for image classification
     with: Li, Y.: Compact Representation of Multiscale Dissimilarity Data by Pro...
     with: Li, Y.: Multiple-instance learning as a classifier combining problem
     with: Li, Y.: Scale selection for supervised image segmentation
     with: Li, Y.: Scale-invariant sampling for supervised image segmentation
     with: Li, Y.: Supervised Scale-Invariant Segmentation (and Detection)
     with: Lillholm, M.: Gaussian Scale Space from Insufficient Image Information
     with: Lovato, P.: dissimilarity-based multiple instance learning approach fo...
     with: Lovato, P.: Protein Remote Homology Detection Using Dissimilarity-Base...
     with: Markussen, B.: Generic Maximum Likely Scale Selection
     with: Markussen, B.: Second Order Structure of Scale-Space Measurements
     with: Meijering, E.H.W.: Quantitative Comparison of Spot Detection Methods i...
     with: Mensi, A.: dissimilarity-based multiple instance learning approach for...
     with: Mensi, A.: Protein Remote Homology Detection Using Dissimilarity-Based...
     with: Mey, A.: soft-labeled self-training approach, A
     with: Mirtuono, P.: Dissimilarity-based detection of schizophrenia
     with: Murino, V.: Dissimilarity-based detection of schizophrenia
     with: Nap, M.: Automated classification of local patches in colon histopatho...
     with: Nielsen, M.: Automated Effect-Specific Mammographic Pattern Measures
     with: Nielsen, M.: Bicycle chain shape models
     with: Nielsen, M.: Dense iterative contextual pixel classification using Kri...
     with: Nielsen, M.: Gaussian Scale Space from Insufficient Image Information
     with: Nielsen, M.: Metric learning by directly minimizing the k-NN training ...
     with: Niemeijer, M.: On Combining Computer-Aided Detection Systems
     with: Niessen, W.J.: Quantitative Comparison of Spot Detection Methods in Fl...
     with: Orozco Alzate, M.: Compact Representation of Multiscale Dissimilarity ...
     with: Orozco Alzate, M.: Metric Learning in Dissimilarity Space for Improved...
     with: Paclik, P.: Clustering Based Method for Edge Detection in Hyperspectra...
     with: Paclik, P.: SEDMI: Saliency based edge detection in multispectral images
     with: Pedersen, J.H.: Classification of COPD with Multiple Instance Learning
     with: Pekalska, E.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
     with: Pelkalska, E.: Feature-Based Dissimilarity Space Classification
     with: Pettersen, P.: Automated Effect-Specific Mammographic Pattern Measures
     with: Piqueras Salazar, I.: FIDOS: A generalized Fisher based feature extrac...
     with: Pizarro, D.: Stratified Generalized Procrustes Analysis
     with: Plasencia Calana, Y.: Compact Representation of Multiscale Dissimilari...
     with: Prokop, M.: On Combining Computer-Aided Detection Systems
     with: Qin, A.K.: Efficient Feature Extraction Based on Regularized Uncorrela...
     with: Qin, A.K.: Generalized null space uncorrelated Fisher discriminant ana...
     with: Qin, A.K.: Uncorrelated heteroscedastic LDA based on the weighted pair...
     with: Rajadell, O.: Training data selection for cancer detection in multispe...
     with: Raundahl, J.: Automated Effect-Specific Mammographic Pattern Measures
     with: Reinders, M.J.T.: Local Fisher Embedding
     with: Roli, F.: Editorial of the Special Issue on Multi-instance Learning in...
     with: Smal, I.: Quantitative Comparison of Spot Detection Methods in Fluores...
     with: Solberg, A.H.S.: Using Multiscale Spectra in Regularizing Covariance M...
     with: Sommer, S.: Bicycle chain shape models
     with: Sorensen, L.: Classification of COPD with Multiple Instance Learning
     with: Steenstrup Pedersen, K.: Generic Maximum Likely Scale Selection
     with: Steenstrup Pedersen, K.: Second Order Structure of Scale-Space Measure...
     with: Suganthan, P.N.: Efficient Feature Extraction Based on Regularized Unc...
     with: Suganthan, P.N.: Generalized null space uncorrelated Fisher discrimina...
     with: Suganthan, P.N.: Uncorrelated heteroscedastic LDA based on the weighte...
     with: Tang, J.: Learning Algorithms for Digital Reconstruction of Van Gogh's...
     with: Tanko, L.B.: Automated Effect-Specific Mammographic Pattern Measures
     with: Tansella, M.: Dissimilarity-based detection of schizophrenia
     with: Tatu, A.: Bicycle chain shape models
     with: Tax, D.M.J.: Class-Dependent Dissimilarity Measures for Multiple Insta...
     with: Tax, D.M.J.: Classification of COPD with Multiple Instance Learning
     with: Tax, D.M.J.: dissimilarity-based multiple instance learning approach f...
     with: Tax, D.M.J.: Does one rotten apple spoil the whole barrel?
     with: Tax, D.M.J.: Feature-Based Dissimilarity Space Classification
     with: Tax, D.M.J.: Multiple instance learning with bag dissimilarities
     with: Tax, D.M.J.: Multiple-instance learning as a classifier combining prob...
     with: Tax, D.M.J.: Network-Guided Group Feature Selection for Classification...
     with: Tax, D.M.J.: On classification with bags, groups and sets
     with: Tax, D.M.J.: Protein Remote Homology Detection Using Dissimilarity-Bas...
     with: Tax, D.M.J.: Scale selection for supervised image segmentation
     with: Tax, D.M.J.: Single- vs. multiple-instance classification
     with: Tax, D.M.J.: Supervised Scale-Invariant Segmentation (and Detection)
     with: ter Haar Romeny, B.M.: Optic Nerve Head Detection via Group Correlatio...
     with: ter Haar Romeny, B.M.: Template Matching via Densities on the Roto-Tra...
     with: ter Haar Romeny, B.M.: Training of Templates for Object Recognition in...
     with: Ulas, A.: Dissimilarity-based detection of schizophrenia
     with: van der Lubbe, J.C.A.: Learning Algorithms for Digital Reconstruction ...
     with: van der Lubbe, J.C.A.: Multi-scale convolutional neural network for pi...
     with: van Gemert, J.C.: Respecting Domain Relations: Hypothesis Invariance f...
     with: van Ginneken, B.: Bony Structure Suppression in Chest Radiographs
     with: van Ginneken, B.: Dimensionality Reduction by Canonical Contextual Cor...
     with: van Ginneken, B.: Dimensionality reduction of image features using the...
     with: van Ginneken, B.: On Combining Computer-Aided Detection Systems
     with: van Ginneken, B.: Pixel Position Regression: Application to Medical Im...
     with: van Ginneken, B.: Segmentation of the Posterior Ribs in Chest Radiogra...
     with: van Ginneken, B.: Static posterior probability fusion for signal detec...
     with: van Ginneken, B.: Supervised segmentation by iterated contextual pixel...
     with: Viergever, M.A.: Gaussian Scale Space from Insufficient Image Informat...
     with: Viergever, M.A.: On Combining Computer-Aided Detection Systems
     with: Wang, Z.: Respecting Domain Relations: Hypothesis Invariance for Domai...
     with: Wu, J.X.: Editorial of the Special Issue on Multi-instance Learning in...
     with: Yang, Y.Z.: Active learning using uncertainty information
     with: Yang, Y.Z.: benchmark and comparison of active learning for logistic r...
     with: Yang, Y.Z.: empirical investigation into the inconsistency of sequenti...
     with: Yang, Y.Z.: Single shot active learning using pseudo annotators
     with: Yang, Y.Z.: variance maximization criterion for active learning, A
     with: Zeng, Y.: Learning Algorithms for Digital Reconstruction of Van Gogh's...
     with: Zeng, Y.: Multi-scale convolutional neural network for pixel-wise reco...
     with: Zhou, Z.H.: Editorial of the Special Issue on Multi-instance Learning ...
203 for Loog, M.

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