Xiao Bai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Attribute subspaces for zero-shot learning.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Learning consistent region features for lifelong person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Deep learning-based 3D point cloud classification: A systematic survey and outlook.

[BibT_eX]

[DOI]

Displays, September, 2023

Pedestrian Re-ID based on feature consistency and contrast enhancement.

[BibT_eX]

[DOI]

Displays, September, 2023

Corrigendum to' HCFNN: High-order coverage function neural network for image classification' Pattern Recognition. Volume 131(2022) 108873.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Information bottleneck and selective noise supervision for zero-shot learning.

[BibT_eX]

[DOI]

Mach. Learn., July, 2023

Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, June, 2023

Hyper-sausage coverage function neuron model and learning algorithm for image classification.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., March, 2023

Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

A Novel Hyperspectral Image Classification Model Using Bole Convolution With Three-Direction Attention Mechanism: Small Sample and Unbalanced Learning.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Image manipulation detection by multiple tampering traces and edge artifact enhancement.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Unsupervised Recognition of Unknown Objects for Open-World Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-view Stereo.

[BibT_eX]

[DOI]

Xiang Wang

Chen Wang

Proceedings of the Image and Graphics - 12th International Conference, 2023

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diving into Continual Ultra-fine-grained Visual Categorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Fully Decoupled End-to-End Person Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Spectral-Spatial Boundary Detection in Hyperspectral Images.

[BibT_eX]

[DOI]

Suhad Lateef Al-Khafaji

IEEE Trans. Image Process., 2022

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Uncertainty estimation for stereo matching based on evidential deep learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

HCFNN: High-order coverage function neural network for image classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Unsupervised feature selection via adaptive autoencoder with redundancy control.

[BibT_eX]

[DOI]

Neural Networks, 2022

Learning multi-view visual correspondences with self-supervision.

[BibT_eX]

[DOI]

Displays, 2022

3D data computation and visualization.

[BibT_eX]

[DOI]

Displays, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Feature Refinement and Filter Network for Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

A Joint Convolutional Neural Network for Simultaneous Despeckling and Classification of SAR Targets.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2021

Multi-view stereo in the Deep Learning Era: A comprehensive revfiew.

[BibT_eX]

[DOI]

Displays, 2021

Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks.

[BibT_eX]

[DOI]

Comput. Aided Civ. Infrastructure Eng., 2021

Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Relation-Aware Reasoning with Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 11th International Conference, 2021

Occluded Person Re-Identification with Single-scale Global Representations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Distributed Complementary Binary Quantization for Joint Hash Table Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Special issue on recent advances in statistical, structural and syntactic pattern recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Local-global nested graph kernels using nested complexity traces.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Learning binary code for fast nearest subspace search.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Multi-head enhanced self-attention network for novelty detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Binary neural networks: A survey.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss.

[BibT_eX]

[DOI]

CoRR, 2020

A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast Subspace Clustering Based on the Kronecker Product.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Matrix Classifier On Dynamic Functional Connectivity For Mci Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Hierarchical Convolution Neural Network (CNN)-Based Ship Target Detection Method in Spaceborne SAR Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Deep supervised hashing using symmetric relative entropy.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Self-Supervised deep homography estimation with invertibility constraints.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Cross-modal hashing with semantic deep embedding.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Deep depth-based representations of graphs through deep learning networks.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Privacy-preserved community discovery in online social networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

Unified Multifaceted Feature Learning for Person Re-Identification.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Hashing by Discriminating Hard Examples.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Latent Distribution Preserving Deep Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hyperspectral Image Classification Based on Non-Local Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Accelerating Deep Convnets via Sparse Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 10th International Conference, 2019

Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Material based salient object detection from hyperspectral images.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Adaptive hash retrieval with kernel based similarity.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression.

[BibT_eX]

[DOI]

CoRR, 2018

Fast Subspace Clustering Based on the Kronecker Product.

[BibT_eX]

[DOI]

CoRR, 2018

Iterative Deep Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Supervised Hashing with Information Loss.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Homography Estimation with Pairwise Invertibility Constraint.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Learning Deep Embeddings via Margin-Based Discriminate Loss.

[BibT_eX]

[DOI]

Peng Sun

Wenzhong Tang

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Cross-Model Retrieval with Reconstruct Hashing.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Discriminate Cross-modal Quantization for Efficient Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Quantum kernels for unattributed graphs using discrete-time quantum walks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Differential weights-based band selection for hyperspectral image classification.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2017

Non-local similarity based tensor decomposition for hyperspectral image denoising.

[BibT_eX]

[DOI]

Fan Xu

Jun Zhou

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Heterogeneous face recognition via grassmannian based nearest subspace search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 9th International Conference, 2017

Hierarchical Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

Maximum margin hashing with supervised information.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2016

Discriminative sparse neighbor coding.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2016

Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2016

Describing and learning of related parts based on latent structural model in big data.

[BibT_eX]

[DOI]

Neurocomputing, 2016

P2P Lending Analysis Using the Most Relevant Graph-Based Features.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Discriminative weighted band selection via one-class SVM for hyperspectral imagery.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Shape classification with a vertex clustering graph kernel.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hashing with Non-Linear Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Object Classification via Feature Fusion Based Marginalized Kernels.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2015

An incremental structured part model for object recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A novel logistic multi-class supervised classification model based on multi-fractal spectrum parameters for hyperspectral data.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2015

A Graph Kernel Based on the Jensen-Shannon Representation Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification.

[BibT_eX]

[DOI]

Cheng Yan

Jun Zhou

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning Graph Model for Different Dimensions Image Matching.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Isometric Mapping Hashing.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Online sketching hashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Data-Dependent Hashing Based on p-Stable Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

VHR Object Detection Based on Structural Feature Extraction and Query Expansion.

[BibT_eX]

[DOI]

Huigang Zhang

Jun Zhou

IEEE Trans. Geosci. Remote. Sens., 2014

Optimized graph-based segmentation for ultrasound images.

[BibT_eX]

[DOI]

Neurocomputing, 2014

A Graph Kernel from the Depth-Based Representation.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Learning Binary Codes with Bagging PCA.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Discriminative Context Models for Collective Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Semi-randomized hashing for large scale data retrieval.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Dual Graph Regularized NMF for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Adaptive Object Retrieval with Kernel Reconstructive Hashing.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Object Detection Via Structural Feature Selection and Shape Model.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Asymmetric propagation based batch mode active learning for image retrieval.

[BibT_eX]

[DOI]

Signal Process., 2013

Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

Marginalized kernel-based feature fusion method for VHR object classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Label propagation hashing based on p-stable distribution and coordinate descent.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Salient object detection in hyperspectral imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

A hypergraph based semi-supervised band selection method for hyperspectral image classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Discriminative features for image classification and retrieval.

[BibT_eX]

[DOI]

Shang Liu

Pattern Recognit. Lett., 2012

An Incremental Structured Part Model for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Hypergraph Spectra for Semi-supervised Feature Selection.

[BibT_eX]

[DOI]

Zhihong Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Object detection via foreground contour feature selection and part-based shape model.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

In Search of Perceptually Salient Groupings.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Learning invariant structure for object identification by using graph methods.

[BibT_eX]

[DOI]

Yi-Zhe Song

Peter M. Hall

Comput. Vis. Image Underst., 2011

Query expansion for VHR image detection.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

A novel approach for satellite image classification using local self-similarity.

[BibT_eX]

[DOI]

Huaxin Zheng

Huijie Zhao

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

High-resolution satellite image classification and segmentation using Laplacian graph energy.

[BibT_eX]

[DOI]

Zhao Meng

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Geometric characterization and clustering of graphs using heat kernel embeddings.

[BibT_eX]

[DOI]

Image Vis. Comput., 2010

Manifold embedding for shape analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2010

2009

Graph characteristics from the heat kernel trace.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

A generative model for graph matching and embedding.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2009

2008

Isotree: Tree clustering via metric embedding.

[BibT_eX]

[DOI]

Andrea Torsello

Neurocomputing, 2008

Quantitative Evaluation on Heat Kernel Permutation Invariants.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2008

Structure Is a Visual Class Invariant.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2008

Object recognition using graph spectral invariants.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Heat kernel analysis on graphs.

[BibT_eX]

[DOI]

PhD thesis, 2007

Learning Object Classes from Structure.

[BibT_eX]

[DOI]

Yi-Zhe Song

Peter M. Hall

Proceedings of the British Machine Vision Conference 2007, 2007

2006

Trace Formula Analysis of Graphs.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

A Spectral Generative Model for Graph Structure.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

2005

Manifold Embedding of Graphs Using the Heat Kernel.

[BibT_eX]

[DOI]

Proceedings of the Mathematics of Surfaces XI, 2005

Clustering shapes using heat content invariants.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Image Processing, 2005

Geometric Characterisation of Graphs.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing, 2005

Graph Clustering Using Heat Content Invariants.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Recent Results on Heat Kernel Embedding of Graphs.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Characterising Graphs using the Heat Kernel.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004

Heat Kernels, Manifolds and Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2004

Graph Matching using Spectral Embedding and Alignment.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Graph Matching Using Manifold Embedding.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition: International Conference, 2004

Graph Matching using Spectral Embedding and Semidefinite Programming.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2004

2003

Graph Clustering using Symmetric Polynomials and Local Linear Embedding.

[BibT_eX]

[DOI]