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Kernel Methods in Computer Vision
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471725293openalex-snapshot
Discriminant Analysis and Statistical Pattern Recognition
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/11550518_41openalex-snapshot
Improving a Discriminative Approach to Object Recognition Using Image Patches
inferredcites →https://doi.org/10.1007/11744085_38openalex-snapshot
Sampling Strategies for Bag-of-Features Image Classification
inferredcites →https://doi.org/10.1007/978-1-4757-1904-8openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-540-69321-5_4openalex-snapshot
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_2openalex-snapshot
Learning to Localize Objects with Structured Output Regression
inferredcites →https://doi.org/10.1007/978-3-540-88688-4_43openalex-snapshot
Learning CRFs Using Graph Cuts
inferredcites →https://doi.org/10.1007/s007999900025openalex-snapshot
A probabilistic justification for using tf×idf term weighting in information retrieval
inferredcites →https://doi.org/10.1007/s10994-007-5009-7openalex-snapshot
Invariant kernel functions for pattern analysis and machine learning
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1007/s11263-006-9794-4openalex-snapshot
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
inferredcites →https://doi.org/10.1007/s11263-009-0271-8openalex-snapshot
Unsupervised Object Discovery: A Comparison
inferredcites →https://doi.org/10.1016/0022-5193(77)90351-4openalex-snapshot
Additive evolutionary trees
inferredcites →https://doi.org/10.1016/0031-3203(95)00069-0openalex-snapshot
Invariant pattern recognition: A review
inferredcites →https://doi.org/10.1016/0893-6080(91)90033-2openalex-snapshot
Creating artificial neural networks that generalize
inferredcites →https://doi.org/10.1016/j.imavis.2003.12.005openalex-snapshot
Support vector machine based multi-view face detection and recognition
inferredcites →https://doi.org/10.1017/cbo9780511574931openalex-snapshot
Algorithms on Strings, Trees and Sequences
inferredcites →https://doi.org/10.1017/cbo9780511809682openalex-snapshot
Kernel Methods for Pattern Analysis
inferredcites →https://doi.org/10.1023/a:1012454411458openalex-snapshot
Training Invariant Support Vector Machines
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-snapshot
Support Vector Data Description
inferredcites →https://doi.org/10.1023/b:visi.0000013087.49260.fbopenalex-snapshot
Robust Real-Time Face Detection
inferredcites →https://doi.org/10.1023/b:visi.0000027790.02288.f2openalex-snapshot
Scale & Affine Invariant Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1080/00031305.1983.10483087openalex-snapshot
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
inferredcites →https://doi.org/10.1080/00401706.1988.10488412openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1080/00401706.1999.10485951openalex-snapshot
Statistical Learning Theory
inferredcites →https://doi.org/10.1093/biomet/28.3-4.321openalex-snapshot
RELATIONS BETWEEN TWO SETS OF VARIATES
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/34.598228openalex-snapshot
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
inferredcites →https://doi.org/10.1109/72.991427openalex-snapshot
A comparison of methods for multiclass support vector machines
inferredcites →https://doi.org/10.1109/afgr.2002.4527207openalex-snapshot
Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
inferredcites →https://doi.org/10.1109/cvpr.1991.139758openalex-snapshot
Face recognition using eigenfaces
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2003.1211479openalex-snapshot
Object class recognition by unsupervised scale-invariant learning
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/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2008.4587353openalex-snapshot
Correlational spectral clustering
inferredcites →https://doi.org/10.1109/cvpr.2008.4587586openalex-snapshot
Beyond sliding windows: Object localization by efficient subwindow search
inferredcites →https://doi.org/10.1109/cvpr.2008.4587622openalex-snapshot
Unsupervised discovery of visual object class hierarchies
inferredcites →https://doi.org/10.1109/cvpr.2009.5206592openalex-snapshot
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
inferredcites →https://doi.org/10.1109/cvprw.2009.5206592openalex-snapshot
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
inferredcites →https://doi.org/10.1109/iccv.2003.1238351openalex-snapshot
Recognition with local features: the kernel recipe
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2005.171openalex-snapshot
Object categorization by learned universal visual dictionary
inferredcites →https://doi.org/10.1109/iccv.2005.239openalex-snapshot
The pyramid match kernel: discriminative classification with sets of image features
inferredcites →https://doi.org/10.1109/iccv.2007.4408875openalex-snapshot
Learning The Discriminative Power-Invariance Trade-Off
inferredcites →https://doi.org/10.1109/iccv.2007.4408924openalex-snapshot
Vector Quantizing Feature Space with a Regular Lattice
inferredcites →https://doi.org/10.1109/iccv.2007.4409049openalex-snapshot
Discriminative Subsequence Mining for Action Classification
inferredcites →https://doi.org/10.1109/iccv.2007.4409064openalex-snapshot
Exploiting Object Hierarchy: Combining Models from Different Category Levels
inferredcites →https://doi.org/10.1109/iccv.2007.4409065openalex-snapshot
Support Kernel Machines for Object Recognition
inferredcites →https://doi.org/10.1109/iccv.2009.5459169openalex-snapshot
On feature combination for multiclass object classification
inferredcites →https://doi.org/10.1109/icdar.1993.395781openalex-snapshot
Document image defect models and their uses
inferredcites →https://doi.org/10.1109/icip.2000.899469openalex-snapshot
Wavelet-based salient points for image retrieval
inferredcites →https://doi.org/10.1109/icip.2001.958946openalex-snapshot
One-class SVM for learning in image retrieval
inferredcites →https://doi.org/10.1109/ijcnn.1989.118277openalex-snapshot
Inversion of multilayer nets
inferredcites →https://doi.org/10.1109/nnsp.1999.788121openalex-snapshot
Fisher discriminant analysis with kernels
inferredcites →https://doi.org/10.1109/t-c.1973.223602openalex-snapshot
The Representation and Matching of Pictorial Structures
inferredcites →https://doi.org/10.1109/tip.2004.840701openalex-snapshot
Building kernels from binary strings for image matching
inferredcites →https://doi.org/10.1109/tnn.2002.1000150openalex-snapshot
Mercer kernel-based clustering in feature space
inferredcites →https://doi.org/10.1109/tnn.2004.837781openalex-snapshot
The Pre-Image Problem in Kernel Methods
inferredcites →https://doi.org/10.1109/tnn.2005.845141openalex-snapshot
Survey of Clustering Algorithms
inferredcites →https://doi.org/10.1109/tpami.2004.60openalex-snapshot
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
inferredcites →https://doi.org/10.1109/tpami.2009.144openalex-snapshot
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
inferredcites →https://doi.org/10.1109/vspets.2005.1570899openalex-snapshot
Behavior Recognition via Sparse Spatio-Temporal Features
inferredcites →https://doi.org/10.1117/12.234781openalex-snapshot
Tools and techniques for color image retrieval
inferredcites →https://doi.org/10.1117/12.526012openalex-snapshot
Steganalysis using color wavelet statistics and one-class support vector machines
inferredcites →https://doi.org/10.1142/s012906570000034xopenalex-snapshot
KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS
inferredcites →https://doi.org/10.1145/1015330.1015424openalex-snapshot
Multiple kernel learning, conic duality, and the SMO algorithm
inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot
Training linear SVMs in linear time
inferredcites →https://doi.org/10.1145/1273496.1273599openalex-snapshot
A dependence maximization view of clustering
inferredcites →https://doi.org/10.1145/1273496.1273642openalex-snapshot
Spectral clustering and transductive learning with multiple views
inferredcites →https://doi.org/10.1145/1273496.1273646openalex-snapshot
Multiclass multiple kernel learning
inferredcites →https://doi.org/10.1145/1282280.1282340openalex-snapshot
Representing shape with a spatial pyramid kernel
inferredcites →https://doi.org/10.1145/1282280.1282352openalex-snapshot
Towards optimal bag-of-features for object categorization and semantic video retrieval
inferredcites →https://doi.org/10.1145/509907.509947openalex-snapshot
Approximate clustering via core-sets
inferredcites →https://doi.org/10.1145/985692.985733openalex-snapshot
Labeling images with a computer game
inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1162/neco.2007.19.5.1155openalex-snapshot
Training a Support Vector Machine in the Primal
inferredcites →https://doi.org/10.1163/156856887x00222openalex-snapshot
The Gaussian derivative model for spatial vision: I. Retinal mechanisms
inferredcites →https://doi.org/10.1198/016214506000000302openalex-snapshot
Hierarchical Dirichlet Processes
inferredcites →https://doi.org/10.1561/0600000017openalex-snapshot
Local Invariant Feature Detectors: A Survey
inferredcites →https://doi.org/10.1613/jair.105openalex-snapshot
Solving Multiclass Learning Problems via Error-Correcting Output Codes
inferredcites →https://doi.org/10.2307/2290355openalex-snapshot
Discriminant Analysis and Statistical Pattern Recognition.
inferredcites →https://doi.org/10.5244/c.23.63openalex-snapshot
Object Localization with Global and Local Context Kernels
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
inferredcites →https://doi.org/10.5555/365411.365555openalex-snapshot
Algorithms for facility location problems with outliers
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Classification Methods and Algorithms
inferred← citeshttps://doi.org/10.1007/978-0-387-30164-8_804openalex-snapshot
Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-1-4302-5930-5_3openalex-snapshot
Global and Regional Features
inferred← citeshttps://doi.org/10.1007/978-1-4302-5930-5_6openalex-snapshot
Interest Point Detector and Feature Descriptor Survey
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Ground Truth Data, Content, Metrics, and Analysis
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Crowd Counting and Profiling: Methodology and Evaluation
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General Framework for Multi-View Metric Learning
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Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction
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Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification
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Regularization of Interpolation Kernel Machines
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Evolutionary Training Set Pruning for Boosting Interpolation Kernel Machines
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Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
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Global and Regional Features
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Local Feature Design Concepts
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Taxonomy of Feature Description Attributes
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Interest Point Detector and Feature Descriptor Survey
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Ground Truth Data, Content, Metrics, and Analysis
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Vision Pipelines and Optimizations
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Feature Learning Architecture Taxonomy and Neuroscience Background
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Feature Learning and Deep Learning Architecture Survey
inferred← citeshttps://doi.org/10.1007/s00371-013-0915-0openalex-snapshot
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Application of kernel principal component analysis to multi-characteristic parameter design problems
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Within-brain classification for brain tumor segmentation
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Relative reductive structure-aware regression filter
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L1-norm regularized indefinite kernel logistic regression
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Estimating size fraction categories of coal particles on conveyor belts using image texture modeling methods
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inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102923openalex-snapshot
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Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications
inferred← citeshttps://doi.org/10.1016/j.jcp.2016.07.011openalex-snapshot
Regularized kernel PCA for the efficient parameterization of complex geological models
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108759openalex-snapshot
Cross-View kernel transfer
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Zero-Shot-Learning for Plant Species Classification
inferred← citeshttps://doi.org/10.1016/j.sigpro.2021.108090openalex-snapshot
Three-dimensional Epanechnikov mixture regression in image coding
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Material measurement units for a circular economy: Foundations through a review
inferred← citeshttps://doi.org/10.1088/1742-6596/870/1/012004openalex-snapshot
Detection of grapes in natural environment using HOG features in low resolution images
inferred← citeshttps://doi.org/10.1109/cvpr.2011.5995685openalex-snapshot
Local isomorphism to solve the pre-image problem in kernel methods
inferred← citeshttps://doi.org/10.1109/cvpr.2014.129openalex-snapshot
Random Laplace Feature Maps for Semigroup Kernels on Histograms
inferred← citeshttps://doi.org/10.1109/cvpr.2014.182openalex-snapshot
Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298696openalex-snapshot
Predicting the future behavior of a time-varying probability distribution
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Classifier adaptation at prediction time
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Drosophila Embryo Stage Annotation Using Label Propagation
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Attribute-Based Classification for Zero-Shot Visual Object Categorization
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Transductive Multi-View Zero-Shot Learning
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An Adaptive Approach to Learning Optimal Neighborhood Kernels
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An optimized support vector machine classifier to extract abnormal features from breast microwave tomography data
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Robust Grape Detector Based on SVMs and HOG Features
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Person Detection for an Orthogonally Placed Monocular Camera
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Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations
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Integrating gene expression data via weighted multiple kernel ridge regression improved accuracy of genomic prediction
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Tree-Walk Kernels for Computer Vision
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Approximate kernel PCA: Computational versus statistical trade-off
inferred← citeshttps://doi.org/10.12928/telkomnika.v12i4.388openalex-snapshot
Review of Local Descriptor in RGB-D Object Recognition
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Nonlinear decoding of a complex movie from the mammalian retina
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Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
inferred← citeshttps://doi.org/10.1561/0600000035openalex-snapshot
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inferred← citeshttps://doi.org/10.1561/9781601985415openalex-snapshot
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
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Latent-Insensitive Autoencoders for Anomaly Detection
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Identifying Reliable Annotations for Large Scale Image Segmentation
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Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off
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Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.2105.08875openalex-snapshot
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA
inferred← citeshttps://doi.org/10.70675/1365a0d5z7885z434ezb9e7ze8ff3304db53openalex-snapshot
Novel geometric tools for human behavior understanding
inferred← citeshttps://doi.org/10.70675/3cafbe47z176dz4541z8aeez6b3e8934143copenalex-snapshot
Dynamic machine learning for supervised and unsupervised classification
inferred← citeshttps://doi.org/10.70675/6cbacb04zd273z48a7zaf71z2e83b3e7baf6openalex-snapshot
Kernel learning for structured data : a study on learning operator - and scalar - valued kernels for multi-view and multi-task learning problems
inferred← citeshttps://doi.org/10.70675/72252e70z0c30z4f50za1a7zf13d21945680openalex-snapshot
Analysis and prediction of human behavior temporal sequences in the wild
inferred← citeshttps://doi.org/10.70675/ab9825adz1fb8z4f1cz9217zef67d5530022openalex-snapshot
Spatial techniques for video understanding
inferred← citeshttps://doi.org/10.7916/d8f47ndbopenalex-snapshot
Scalable Machine Learning for Visual Data
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