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Large-scale Learning with SVM and Convolutional for Generic Object Categorization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Shape Models and Object Recognition
inferredcites →https://doi.org/10.1007/3-540-47979-1_2openalex-snapshot
Hausdorff Kernel for 3D Object Acquisition and Detection
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Support-Vector Networks
inferredcites →https://doi.org/10.1007/bf01421486openalex-snapshot
Visual learning and recognition of 3-d objects from appearance
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Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position
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A Tutorial on Support Vector Machines for Pattern Recognition
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Contour and Texture Analysis for Image Segmentation
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Visual features of intermediate complexity and their use in classification
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Original approach for the localisation of objects in images
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Statistical Learning Theory
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Local grayvalue invariants for image retrieval
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Neural network-based face detection
inferredcites →https://doi.org/10.1109/34.683777openalex-snapshot
Support vector machines for 3D object recognition
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/72.788646openalex-snapshot
Support vector machines for histogram-based image classification
inferredcites →https://doi.org/10.1109/9780470544976.ch9openalex-snapshot
GradientBased Learning Applied to Document Recognition
inferredcites →https://doi.org/10.1109/cvpr.1997.609310openalex-snapshot
Training support vector machines: an application to face detection
inferredcites →https://doi.org/10.1109/cvpr.2000.854754openalex-snapshot
Towards automatic discovery of object categories
inferredcites →https://doi.org/10.1109/cvpr.2000.855895openalex-snapshot
A statistical method for 3D object detection applied to faces and cars
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.2001.990619openalex-snapshot
Appearance-based object recognition using multiple views
inferredcites →https://doi.org/10.1109/cvpr.2003.1211497openalex-snapshot
Analyzing appearance and contour based methods for object categorization
inferredcites →https://doi.org/10.1109/cvpr.2004.1315150openalex-snapshot
Learning methods for generic object recognition with invariance to pose and lighting
inferredcites →https://doi.org/10.1109/cvpr.2005.254openalex-snapshot
Object Recognition with Features Inspired by Visual Cortex
inferredcites →https://doi.org/10.1109/iccv.1995.466858openalex-snapshot
Probabilistic visual learning for object detection
inferredcites →https://doi.org/10.1109/iccv.2001.937552openalex-snapshot
Matching shapes
inferredcites →https://doi.org/10.1109/iccv.2003.1238351openalex-snapshot
Recognition with local features: the kernel recipe
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.2005.98openalex-snapshot
Feature hierarchies for object classification
inferredcites →https://doi.org/10.1162/neco.1997.9.4.777openalex-snapshot
SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition
inferredcites →https://doi.org/10.5244/c.16.8openalex-snapshot
Object Recognition by a Cascade of Edge Probes
inferredcites →https://doi.org/10.5244/c.18.98openalex-snapshot
Semi-Local Affine Parts for Object Recognition
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0016openalex-snapshot
Fast Training of Support Vector Machines Using Sequential Minimal Optimization

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Human physical activity recognition based on computer vision with deep learning model
inferred← citeshttps://doi.org/10.1109/icarce55724.2022.10046634openalex-snapshot
Research on Image Classification Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icassp.2018.8461618openalex-snapshot
Improving Convolutional Neural Networks Via Compacting Features
inferred← citeshttps://doi.org/10.1109/icassp.2018.8462158openalex-snapshot
Deformation Stability of Deep Convolutional Neural Networks on Sobolev Spaces
inferred← citeshttps://doi.org/10.1109/icccnt45670.2019.8944597openalex-snapshot
Performance Analysis of Machine Learning Techniques for Microscopic Bacteria Image Classification
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An application of pre-trained CNN for image classification
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Application of modified partial least squares in data analysis of Traditional Chinese Medicine
inferred← citeshttps://doi.org/10.1109/iccubea54992.2022.10010930openalex-snapshot
Implementation of Faster RCNN Algorithm for Smart Robotic ARM Based on Computer Vision
inferred← citeshttps://doi.org/10.1109/iccv.2009.5459469openalex-snapshot
What is the best multi-stage architecture for object recognition?
inferred← citeshttps://doi.org/10.1109/iccvw.2017.183openalex-snapshot
Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity
inferred← citeshttps://doi.org/10.1109/iccwamtip.2014.7073385openalex-snapshot
Preview on structures and algorithms of deep learning
inferred← citeshttps://doi.org/10.1109/iccwamtip53232.2021.9674119openalex-snapshot
Hierarchical Data Augmentation for Rumor Verification on Twitter
inferred← citeshttps://doi.org/10.1109/icdar.2007.4377108openalex-snapshot
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
inferred← citeshttps://doi.org/10.1109/icdar.2007.4378728openalex-snapshot
Energy-Based Models in Document Recognition and Computer Vision
inferred← citeshttps://doi.org/10.1109/icdar.2011.229openalex-snapshot
Convolutional Neural Network Committees for Handwritten Character Classification
inferred← citeshttps://doi.org/10.1109/iceca.2018.8474594openalex-snapshot
A Novel Framework for Real and Fake Smile Detection from Videos
inferred← citeshttps://doi.org/10.1109/icfhr.2016.0048openalex-snapshot
Historical Manuscript Production Date Estimation Using Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/icicisys.2009.5357786openalex-snapshot
Large-scale object recognition with CUDA-accelerated hierarchical neural networks
inferred← citeshttps://doi.org/10.1109/icip.2015.7351326openalex-snapshot
Regularization of deep neural networks using a novel companion objective function
inferred← citeshttps://doi.org/10.1109/icip.2017.8296815openalex-snapshot
Exploring the influence of feature representation for dictionary selection based video summarization
inferred← citeshttps://doi.org/10.1109/icmip.2017.5openalex-snapshot
A Hybrid Deep Learning Approach for Texture Analysis
inferred← citeshttps://doi.org/10.1109/icmla.2012.14openalex-snapshot
Convolutional Neural Support Vector Machines: Hybrid Visual Pattern Classifiers for Multi-robot Systems
inferred← citeshttps://doi.org/10.1109/icoase.2018.8548836openalex-snapshot
Gene Selection and Classification of Microarray Data Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icodse48700.2019.9092754openalex-snapshot
Improving the Performance of CBIR Using XGBoost Classifier with Deep CNN-Based Feature Extraction
inferred← citeshttps://doi.org/10.1109/icpr.2018.8545751openalex-snapshot
Deeply Supervised Residual Network for HEp-2 Cell Classification
inferred← citeshttps://doi.org/10.1109/icra.2018.8460548openalex-snapshot
Intelligent Shipwreck Search Using Autonomous Underwater Vehicles
inferred← citeshttps://doi.org/10.1109/icsidp47821.2019.9172915openalex-snapshot
Research on Crop Planting Area Classification From Remote Sensing Image Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/ictai.2009.28openalex-snapshot
EBLearn: Open-Source Energy-Based Learning in C++
inferred← citeshttps://doi.org/10.1109/icvs.2006.4openalex-snapshot
A Learning Approach for Adaptive Image Segmentation
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Multi-modality recognition of human face and ear based on deep learning
inferred← citeshttps://doi.org/10.1109/igarss46834.2022.9883309openalex-snapshot
Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery
inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10640705openalex-snapshot
A Novel Wetland Classification Method Combined CNN and SVM Using Multi-Source Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/ihmsc.2019.10165openalex-snapshot
Image Classification with Hybrid Shearlet Scattering Networks
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727333openalex-snapshot
Efficient feature extraction with simultaneous recurrent network for metric learning
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727394openalex-snapshot
A deep quasi-linear kernel composition method for support vector machines
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727869openalex-snapshot
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction
inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8852004openalex-snapshot
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9206798openalex-snapshot
A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9206861openalex-snapshot
Artificial Neural Network Pruning to Extract Knowledge
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533303openalex-snapshot
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification
inferred← citeshttps://doi.org/10.1109/iros.2016.7759279openalex-snapshot
Introspective perception: Learning to predict failures in vision systems
inferred← citeshttps://doi.org/10.1109/isbi.2016.7493473openalex-snapshot
Towards grading gleason score using generically trained deep convolutional neural networks
inferred← citeshttps://doi.org/10.1109/iske.2015.8openalex-snapshot
Deep Belief Networks Oriented Clustering
inferred← citeshttps://doi.org/10.1109/ism.2017.92openalex-snapshot
Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network
inferred← citeshttps://doi.org/10.1109/ist.2013.6729661openalex-snapshot
Bio-inspired deep learning model for object recognition
inferred← citeshttps://doi.org/10.1109/kst.2016.7440527openalex-snapshot
Combining deep convolutional networks and SVMs for mass detection on digital mammograms
inferred← citeshttps://doi.org/10.1109/lgrs.2017.2681128openalex-snapshot
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
inferred← citeshttps://doi.org/10.1109/mci.2010.938364openalex-snapshot
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
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HOG and Pairwise SVMs for Neuromuscular Activity Recognition Using Instantaneous HD-sEMG Images
inferred← citeshttps://doi.org/10.1109/robio.2015.7419037openalex-snapshot
A hybrid convolutional neural networks with extreme learning machine for WCE image classification
inferred← citeshttps://doi.org/10.1109/secon.2016.7506751openalex-snapshot
Deep SRN for robust object recognition: A case study with NAO humanoid robot
inferred← citeshttps://doi.org/10.1109/siu.2014.6830363openalex-snapshot
Approximate computation of DFT without performing any multiplications: Application to radar signal processing
inferred← citeshttps://doi.org/10.1109/siu.2017.7960212openalex-snapshot
Feature extraction with convolutional neural networks for aerial image retrieval
inferred← citeshttps://doi.org/10.1109/siu.2018.8404818openalex-snapshot
High-dimensional and wide-scale anomaly detection using enhancing support vector machine
inferred← citeshttps://doi.org/10.1109/spawc.2018.8446027openalex-snapshot
Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets
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A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification
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Identity Recognition Based on Bioacoustics of Human Body
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Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems
inferred← citeshttps://doi.org/10.1109/tit.2017.2776228openalex-snapshot
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
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Exploring Kernel Transformations for Implicit Neural Representations
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A Multiobjective Sparse Feature Learning Model for Deep Neural Networks
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DISC: Deep Image Saliency Computing via Progressive Representation Learning
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Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
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Separability and Compactness Network for Image Recognition and Superresolution
inferred← citeshttps://doi.org/10.1109/tpami.2007.70798openalex-snapshot
A CNN-based face detector with a simple feature map and a coarse-to-fine classifier - Withdrawn
inferred← citeshttps://doi.org/10.1109/tpami.2017.2656884openalex-snapshot
Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
inferred← citeshttps://doi.org/10.1109/tsp.2019.8768812openalex-snapshot
Deep Neural Networks vs Bag of Features for Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1109/wiamis.2007.10openalex-snapshot
A review of different object recognition methods for the application in driver assistance systems
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Tapped delay multiclass support vector machines for industrial workflow recognition
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