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Support Vector Random Fields for Spatial Classification

https://doi.org/10.1007/11564126_16
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118723203openalex-snapshot
Practical Methods of Optimization
inferredcites →https://doi.org/10.1007/3-540-45786-0openalex-snapshot
Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002
inferredcites →https://doi.org/10.1007/3-540-45786-0_48openalex-snapshot
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
inferredcites →https://doi.org/10.1007/3-540-45787-9_74openalex-snapshot
Inter-subject Registration of Functional and Anatomical Data Using SPM
inferredcites →https://doi.org/10.1007/978-1-4615-1079-6_16openalex-snapshot
Statistical Parametric Mapping
inferredcites →https://doi.org/10.1007/978-3-540-30498-2_64openalex-snapshot
Kernel Based Method for Segmentation and Modeling of Magnetic Resonance Images
inferredcites →https://doi.org/10.1007/978-4-431-67044-5openalex-snapshot
Markov Random Field Modeling in Image Analysis
inferredcites →https://doi.org/10.1007/b102591openalex-snapshot
Advances in Artificial Intelligence – IBERAMIA 2004
inferredcites →https://doi.org/10.1016/0378-4754(88)90129-2openalex-snapshot
Practical methods of optimization
inferredcites →https://doi.org/10.1017/cbo9780511809682openalex-snapshot
Kernel Methods for Pattern Analysis
inferredcites →https://doi.org/10.1109/cvpr.2005.133openalex-snapshot
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
inferredcites →https://doi.org/10.1109/iccv.2003.1238478openalex-snapshot
Discriminative random fields: a discriminative framework for contextual interaction in classification
inferredcites →https://doi.org/10.1111/j.2517-6161.1986.tb01412.xopenalex-snapshot
On the Statistical Analysis of Dirty Pictures
inferredcites →https://doi.org/10.1184/r1/6554576openalex-snapshot
Discriminative Fields for Modeling Spatial Dependencies in Natural Images
inferredcites →https://doi.org/10.17877/de290r-14262openalex-snapshot
Making Large-Scale SVM Learning Practical
inferredcites →https://doi.org/10.2307/2008742openalex-snapshot
Practical Methods of Optimization.
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Web Based Semi Automatic Frame Work For Astrobiological Researches
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Machine learning‐based peak ground acceleration models for structural risk assessment using spatial data analysis
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Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
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A Classification-Based Glioma Diffusion Model Using MRI Data
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Efficient Spatial Classification Using Decoupled Conditional Random Fields
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Machine Learning Applications in Habitat Suitability Modeling
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Automated Prostate Cancer Localization with Multiparametric Magnetic Resonance Imaging
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Deep Learning Trends for Focal Brain Pathology Segmentation in MRI
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Segmenting Brain Tumors Using Pseudo–Conditional Random Fields
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Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
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Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features
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Probabilistic Cascade Random Fields for Man-Made Structure Detection
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Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields
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Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection
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Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease
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Distribution of Statistics of Hidden State Sequences Through the Sum-Product Algorithm
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3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set
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Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
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Ensembling Imbalanced-Spatial-Structured Support Vector Machine
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A web based semi automatic frame work for astrobiological researches
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Clustering high dimensional data: A graph-based relaxed optimization approach
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ECOC-DRF: Discriminative random fields based on error correcting output codes
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Image segmentation algorithms based on the machine learning of features
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Towards generalization of semi-supervised place classification over generalized Voronoi graph
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An intelligent approach towards automatic shape modelling and object extraction from satellite images using cellular automata-based algorithms
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Intelligent adaptive resampling technique for the processing of remotely sensed imagery
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Spatial Structured Prediction Models: Applications, Challenges, and Techniques
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SAMA: Spatially-Aware Model-Agnostic Machine Learning Framework for Geophysical Data
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Joint multi-label multi-instance learning for image classification
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Survey on brain tumor segmentation methods
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Application of semi-supervised learning with Voronoi Graph for place classification
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Prostate cancer segmentation with multispectral MRI using cost-sensitive Conditional Random Fields
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3D blob based brain tumor detection and segmentation in MR images
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Support vector random field based approach towards object based classification of remotely sensed imagery
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A Support Vector Conditional Random Fields Classifier With a Mahalanobis Distance Boundary Constraint for High Spatial Resolution Remote Sensing Imagery
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Contextual object recoğnition with conditional random fields
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Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery
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Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields
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A Survey on Spatial Prediction Methods
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Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields
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An Extension of the Standard Mixture Model for Image Segmentation
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Cellular neural network–based hybrid approach toward automatic image registration
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Exploiting spatial context constraints for automatic image region annotation
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Man made structure detection and verification of object recognition in images for the visually impaired
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An Asbestos Detection Method from Microscope Images Using Support Vector Random Field of Local Color Features
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A CNN based Hybrid approach towards automatic image registration
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Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning
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Machine Learning of Spatial Data
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Higher Order Support Vector Random Fields for Hyperspectral Image Classification
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SPATIAL ANALYSIS IN PUBLIC HEALTH DOMAIN: AN NLP APPROACH
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A VECTOR MACHINE BASED APPROACH TOWARDS OBJECT ORIENTED CLASSIFICATION OF REMOTELY SENSED IMAGERY
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Learning a Classification-based Glioma Growth Model Using MRI Data
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An N-dimensional approach towards object based classification of remotely sensed imagery
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Contextual Analysis of Textured Scene Images
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