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A Statistical Approach to Material Classification Using Image Patch Exemplars
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Transformation invariance in pattern recognition: Tangent distance and propagation
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Geometric Methods for Feature Extraction and Dimensional Reduction
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Patch-Based Texture Edges and Segmentation
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Discovering Texture Regularity as a Higher-Order Correspondence Problem
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A Compact Model for Viewpoint Dependent Texture Synthesis
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Pattern Classification
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Pattern Recognition and Machine Learning
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On the Significance of Real-World Conditions for Material Classification
inferredcites →https://doi.org/10.1007/978-3-642-35289-8_17openalex-snapshot
Transformation Invariance in Pattern Recognition – Tangent Distance and Tangent Propagation
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Markov Random Field Modeling in Image Analysis
inferredcites →https://doi.org/10.1007/s11263-005-4635-4openalex-snapshot
A Statistical Approach to Texture Classification from Single Images
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Local linear transforms for texture measurements
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Unifying statistical texture classification frameworks
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1023/a:1007413511361openalex-snapshot
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
inferredcites →https://doi.org/10.1023/a:1008045108935openalex-snapshot
Feature Detection with Automatic Scale Selection
inferredcites →https://doi.org/10.1023/a:1011126920638openalex-snapshot
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot
Contour and Texture Analysis for Image Segmentation
inferredcites →https://doi.org/10.1023/b:visi.0000004829.38247.b0openalex-snapshot
Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval
inferredcites →https://doi.org/10.1023/b:visi.0000004830.93820.78openalex-snapshot
Boosting Image Retrieval
inferredcites →https://doi.org/10.1023/b:visi.0000020670.05764.55openalex-snapshot
3D Texture Recognition Using Bidirectional Feature Histograms
inferredcites →https://doi.org/10.1038/14819openalex-snapshot
Hierarchical models of object recognition in cortex
inferredcites →https://doi.org/10.1038/290091a0openalex-snapshot
Textons, the elements of texture perception, and their interactions
inferredcites →https://doi.org/10.1068/p020391openalex-snapshot
Inability of Humans to Discriminate between Visual Textures That Agree in Second-Order Statistics—Revisited
inferredcites →https://doi.org/10.1109/34.481543openalex-snapshot
Learning texture discrimination masks
inferredcites →https://doi.org/10.1109/34.761261openalex-snapshot
Filtering for texture classification: a comparative study
inferredcites →https://doi.org/10.1109/cvpr.2000.855809openalex-snapshot
Statistical cues for domain specific image segmentation with performance analysis
inferredcites →https://doi.org/10.1109/cvpr.2001.990922openalex-snapshot
Constructing models for content-based image retrieval
inferredcites →https://doi.org/10.1109/cvpr.2003.1211452openalex-snapshot
Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches
inferredcites →https://doi.org/10.1109/cvpr.2003.1211534openalex-snapshot
Texture classification: are filter banks necessary?
inferredcites →https://doi.org/10.1109/cvpr.2005.38openalex-snapshot
A Non-Local Algorithm for Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2006.233openalex-snapshot
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
inferredcites →https://doi.org/10.1109/cvpr.2006.38openalex-snapshot
A Projective Invariant for Textures
inferredcites →https://doi.org/10.1109/iccv.1999.790383openalex-snapshot
Texture synthesis by non-parametric sampling
inferredcites →https://doi.org/10.1109/iccv.2003.1238351openalex-snapshot
Recognition with local features: the kernel recipe
inferredcites →https://doi.org/10.1109/iccv.2003.1238382openalex-snapshot
Mean shift based clustering in high dimensions: a texture classification example
inferredcites →https://doi.org/10.1109/iccv.2005.54openalex-snapshot
Class-specific material categorisation
inferredcites →https://doi.org/10.1109/iccv.2007.4408876openalex-snapshot
Locally Invariant Fractal Features for Statistical Texture Classification
inferredcites →https://doi.org/10.1109/icip.1994.413817openalex-snapshot
Transform features for texture classification and discrimination in large image databases
inferredcites →https://doi.org/10.1109/icip.1995.529696openalex-snapshot
Rotation-invariant texture classification using modified Gabor filters
inferredcites →https://doi.org/10.1109/icpr.1994.576896openalex-snapshot
Rotation invariant texture recognition using a steerable pyramid
inferredcites →https://doi.org/10.1109/tpami.1983.4767341openalex-snapshot
Markov Random Field Texture Models
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1109/tpami.2005.151openalex-snapshot
A sparse texture representation using local affine regions
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Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1117/12.157992openalex-snapshot
Novel cluster-based probability model for texture synthesis, classification, and compression
inferredcites →https://doi.org/10.1145/1015706.1015731openalex-snapshot
Near-regular texture analysis and manipulation
inferredcites →https://doi.org/10.1145/300776.300778openalex-snapshot
Reflectance and texture of real-world surfaces
inferredcites →https://doi.org/10.1162/153244303322753616openalex-snapshot
10.1162/153244303322753616
inferredcites →https://doi.org/10.1162/153244303322753643openalex-snapshot
10.1162/153244303322753643
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Preattentive texture discrimination with early vision mechanisms
inferredcites →https://doi.org/10.21236/ada102470openalex-snapshot
Computational Models for Texture Analysis and Synthesis
inferredcites →https://doi.org/10.25549/usctheses-c29-408900openalex-snapshot
Computational models for texture analysis and texture synthesis
inferredcites →https://doi.org/10.5860/choice.44-5091openalex-snapshot
Pattern recognition and machine learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Klein-Bottle-Based Dictionary for Texture Representation
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From BoW to CNN: Two Decades of Texture Representation for Texture Classification
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CS-CoLBP: Cross-Scale Co-occurrence Local Binary Pattern for Image Classification
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Texture classification with cross-covariance matrices in compressive measurement domain
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Texture classification using multi-resolution global and local Gabor features in pyramid space
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STD-net: saree texture detection via deep learning framework for E-commerce applications
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Pyramid and multi kernel based local binary pattern for texture recognition
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Influence of normalization and color features on super-pixel classification: application to cytological image segmentation
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Region-based analysis
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Diabetic retinopathy detection in ocular imaging by dictionary learning
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Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections
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Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model
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Unconstrained texture classification using efficient jet texton learning
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Local gradient full-scale transform patterns based off-line text-independent writer identification
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Renyi entropy analysis of a deep convolutional representation for texture recognition
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Automated crack pattern recognition from images for condition assessment of concrete structures
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Supervised dictionary learning of EEG signals for mild cognitive impairment diagnosis
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Texture analysis by histogram of vectors: A unified descriptor for directional and spatial texture modeling
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Quality evaluation of induced pluripotent stem cell colonies by fusing multi-source features
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A computer vision approach for automated analysis and classification of microstructural image data
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Characterizing powder materials using keypoint-based computer vision methods
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An integrated index for automated detection of infarcted myocardium from cross-sectional echocardiograms using texton-based features (Part 1)
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Automatic discrimination of actinic keratoses from clinical photographs
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Frequential versus spatial colour textons for breast TMA classification
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Continuous rotation invariant local descriptors for texton dictionary-based texture classification
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Continuous rotation invariant features for gradient-based texture classification
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Image segmentation via multi-scale stochastic regional texture appearance models
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Learnable high-order MGRF models for contrast-invariant texture recognition
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Learning object-specific DAGs for multi-label material recognition
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Water detection through spatio-temporal invariant descriptors
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Local directional ternary pattern: A New texture descriptor for texture classification
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Local morphological pattern: A scale space shape descriptor for texture classification
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Attractive-and-repulsive center-symmetric local binary patterns for texture classification
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Vision-based method to identify materials transported by dump trucks
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Classification of scaled texture patterns with transfer learning
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A cellular automata approach to local patterns for texture recognition
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BoFF: A bag of fuzzy deep features for texture recognition
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Fractal pooling: A new strategy for texture recognition using convolutional neural networks
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Towards reliable object representation via sparse directional patches and spatial center cues
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A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain
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An improved local binary pattern for texture classification
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Texture classification via extended local graph structure
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Principal curvatures based local binary pattern for rotation invariant texture classification
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Systematic literature review on approaches of extracting image merits
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Texture classification using block intensity and gradient difference (BIGD) descriptor
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Extended local binary patterns for texture classification
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Local phase quantization for blur-insensitive image analysis
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Improving texture categorization with biologically-inspired filtering
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Local circular patterns for multi-modal facial gender and ethnicity classification
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Sparse representation with multi-manifold analysis for texture classification from few training images
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Gaussian Markov random field based improved texture descriptor for image segmentation
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Globally rotation invariant multi-scale co-occurrence local binary pattern
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Invariant texture classification using a spatial filter bank in multi-resolution analysis
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Effective plant discrimination based on the combination of local binary pattern operators and multiclass support vector machine methods
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An investigation on the use of local multi-resolution patterns for image classification
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Random projections and Single BoW for fast and Robust texture segmentation
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Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns
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A Gaussian pyramid approach to Bouligand–Minkowski fractal descriptors
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DSTNet: Successive applications of the discrete Schroedinger transform for texture recognition
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VisGraphNet: A complex network interpretation of convolutional neural features
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Texture and material classification with multi-scale ternary and septenary patterns
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Terrain classification using ToF sensors for the enhancement of agricultural machinery traversability
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Automatic target image detection for morphing
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Adjacent evaluation of local binary pattern for texture classification
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Shift-insensitive perceptual feature of quadratic sum of gradient magnitude and LoG signals for image quality assessment and image classification
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Automatic microcalcification and cluster detection for digital and digitised mammograms
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Scale invariant texture descriptors for classifying celiac disease
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Automated classification of camouflaging cuttlefish
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Is local dominant orientation necessary for the classification of rotation invariant texture?
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Completed robust local binary pattern for texture classification
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Scale invariant texture classification via sparse representation
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Image classification based on saliency coding with category-specific codebooks
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Capturing correlations of local features for image representation
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Statistical binary patterns for rotational invariant texture classification
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Exploiting object semantic cues for Multi-label Material Recognition
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Local Quantization Code histogram for texture classification
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Locality-preserving descriptor for robust texture feature representation
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L2SSP: Robust keypoint description using local second-order statistics with soft-pooling
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Face recognition under varying illuminations with multi-scale gradient maximum response
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Image classification with binary gradient contours
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Orientation and anisotropy of multi-component shapes from boundary information
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Sorted random projections for robust rotation-invariant texture classification
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Discriminative features for texture description
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Noise robust rotation invariant features for texture classification
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