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2007_on_one_method_of_non_diagonal_regularization_in_sparse_bayesian_learning
2007_on_one_method_of_non_diagonal_regularization_in_sparse_bayesian_learning
 
 
2008_automated_distinguishing_of_mouse_behavior_in_new_environment_and_under_amphetamine_using_decision_trees
2008_automated_distinguishing_of_mouse_behavior_in_new_environment_and_under_amphetamine_using_decision_trees
 
 
2008_automatic_segmentation_of_mouse_behavior_using_hidden_markov_model
2008_automatic_segmentation_of_mouse_behavior_using_hidden_markov_model
 
 
2010_automatic_detection_of_cell_division_intensity_in_budding_yeast
2010_automatic_detection_of_cell_division_intensity_in_budding_yeast
 
 
2010_intermodal_registration_algorithm_for_segmentation_of_mouse_brain_images_
2010_intermodal_registration_algorithm_for_segmentation_of_mouse_brain_images_
 
 
2010_the_algorithm_for_detection_of_fuzzy_behavioral_patterns
2010_the_algorithm_for_detection_of_fuzzy_behavioral_patterns
 
 
2010_variational_relevance_vector_machine_for_tabular_data
2010_variational_relevance_vector_machine_for_tabular_data
 
 
2011_graph_preserving_label_decomposition_in_discrete_mrfs_with_selfish_potentials
2011_graph_preserving_label_decomposition_in_discrete_mrfs_with_selfish_potentials
 
 
2011_image_segmentation_with_a_shape_prior_based_on_simplified_skeleton
2011_image_segmentation_with_a_shape_prior_based_on_simplified_skeleton
 
 
2011_mrf_energy_minimization_approach_with_epitomic_textural_global_term_for_image_segmentation_problems
2011_mrf_energy_minimization_approach_with_epitomic_textural_global_term_for_image_segmentation_problems
 
 
2012_minimizing_sparse_high_order_energies_by_submodular_vertex_cover
2012_minimizing_sparse_high_order_energies_by_submodular_vertex_cover
 
 
2012_submodular_relaxation_for_mrfs_with_high_order_potentials
2012_submodular_relaxation_for_mrfs_with_high_order_potentials
 
 
2013_a_principled_deep_random_field_model_for_image_segmentation
2013_a_principled_deep_random_field_model_for_image_segmentation
 
 
2013_an_approach_to_segmentation_of_mouse_brain_images_via_intermodal_registration
2013_an_approach_to_segmentation_of_mouse_brain_images_via_intermodal_registration
 
 
2013_automatic_determination_of_cell_division_rate_using_microscope_images
2013_automatic_determination_of_cell_division_rate_using_microscope_images
 
 
2013_learning_a_model_for_shape_constrained_image_segmentation_from_weakly_labeled_data
2013_learning_a_model_for_shape_constrained_image_segmentation_from_weakly_labeled_data
 
 
2013_spatial_inference_machines
2013_spatial_inference_machines
 
 
2014_perceptually_inspired_layout_aware_losses_for_image_segmentation
2014_perceptually_inspired_layout_aware_losses_for_image_segmentation
 
 
2014_putting_mrfs_on_a_tensor_train
2014_putting_mrfs_on_a_tensor_train
 
 
2014_variational_inference_for_sequential_distance_dependent_chinese_restaurant_process
2014_variational_inference_for_sequential_distance_dependent_chinese_restaurant_process
 
 
2015_a_newton_type_incremental_method_with_a_superlinear_convergence_rate
2015_a_newton_type_incremental_method_with_a_superlinear_convergence_rate
 
 
2015_inferring_m_best_diverse_labelings_in_a_single_one
2015_inferring_m_best_diverse_labelings_in_a_single_one
 
 
2015_joint_optimization_of_segmentation_and_color_clustering
2015_joint_optimization_of_segmentation_and_color_clustering
 
 
2015_learning_representations_in_directed_networks
2015_learning_representations_in_directed_networks
 
 
2015_m_best_diverse_labelings_for_submodular_energies_and_beyond
2015_m_best_diverse_labelings_for_submodular_energies_and_beyond
 
 
2015_multi_utility_learning_structured_output_learning_with_multiple_annotation_specific_loss_functions
2015_multi_utility_learning_structured_output_learning_with_multiple_annotation_specific_loss_functions
 
 
2015_tensorizing_neural_networks
2015_tensorizing_neural_networks
 
 
2016_a_superlinearly_convergent_proximal_newton_type_method_for_the_optimization_of_finite_sums
2016_a_superlinearly_convergent_proximal_newton_type_method_for_the_optimization_of_finite_sums
 
 
proj_deep_shape_models
proj_deep_shape_models
 
 
.gitignore
.gitignore
 
 
2016_Figurnov_PerforatedCNNs.pdf
2016_Figurnov_PerforatedCNNs.pdf
 
 
2016_deep_part_based_generative_shape_model_with_latent_variables.pdf
2016_deep_part_based_generative_shape_model_with_latent_variables.pdf
 
 
README.md
README.md
 
 
TissueSegmentation-NekrasovShapovalovVetrov2012.pdf
TissueSegmentation-NekrasovShapovalovVetrov2012.pdf
 
 
WCSP paper.pdf
WCSP paper.pdf
 
 
bartunov-oneshot.pdf
bartunov-oneshot.pdf
 
 
nips16_dropout_paper.pdf
nips16_dropout_paper.pdf
 
 
nips16_dropout_pos.pdf
nips16_dropout_pos.pdf
 
 
nips16_rvi_paper.pdf
nips16_rvi_paper.pdf
 
 
nips16_rvi_poster.pdf
nips16_rvi_poster.pdf
 
 
nips16_tensor_paper.pdf
nips16_tensor_paper.pdf
 
 
nips16_tensor_poster.pdf
nips16_tensor_poster.pdf
 
 
nips16_tensor_pres.pdf
nips16_tensor_pres.pdf
 
 

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