research
∙
08/31/2023
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Anchor-based multi-view graph clustering (AMVGC) has received abundant a...
share
research
∙
08/31/2023
Scalable Incomplete Multi-View Clustering with Structure Alignment
The success of existing multi-view clustering (MVC) relies on the assump...
research
∙
08/17/2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Benefiting from the strong view-consistent information mining capacity, ...
research
∙
07/07/2023
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
Multi-view clustering (MVC), which effectively fuses information from mu...
research
∙
06/26/2023
Medical Federated Model with Mixture of Personalized and Sharing Components
Although data-driven methods usually have noticeable performance on dise...
research
∙
06/23/2023
Decoupled Diffusion Models with Explicit Transition Probability
Recent diffusion probabilistic models (DPMs) have shown remarkable abili...
research
∙
06/14/2023
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation
Deep learning-based hyperspectral image (HSI) classification and object ...
research
∙
06/08/2023
One-step Multi-view Clustering with Diverse Representation
Multi-view clustering has attracted broad attention due to its capacity ...
research
∙
06/04/2023
Fast Continual Multi-View Clustering with Incomplete Views
Multi-view clustering (MVC) has gained broad attention owing to its capa...
research
∙
04/04/2023
RARE: Robust Masked Graph Autoencoder
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
research
∙
03/28/2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
The success of existing multi-view clustering relies on the assumption o...
research
∙
03/14/2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Graph neural networks (GNNs) have been widely investigated in the field ...
research
∙
02/15/2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
With the development of various applications, such as social networks an...
research
∙
01/03/2023
Cluster-guided Contrastive Graph Clustering Network
Benefiting from the intrinsic supervision information exploitation capab...
research
∙
12/16/2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Contrastive deep graph clustering, which aims to divide nodes into disjo...
research
∙
12/07/2022
Contrastive Deep Graph Clustering with Learnable Augmentation
Graph contrastive learning is an important method for deep graph cluster...
research
∙
11/19/2022
Relational Symmetry based Knowledge Graph Contrastive Learning
Knowledge graph embedding (KGE) aims to learn powerful representations t...
research
∙
08/02/2022
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization
Multi-view clustering (MVC) optimally integrates complementary informati...
research
∙
07/13/2022
Multiple Kernel Clustering with Dual Noise Minimization
Clustering is a representative unsupervised method widely applied in mul...
research
∙
07/05/2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Multiple kernel clustering (MKC) is committed to achieving optimal infor...
research
∙
06/06/2022
Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning
Graph Neural Networks (GNNs) have achieved promising performance in semi...
research
∙
05/30/2022
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Multi-view anchor graph clustering selects representative anchors to avo...
research
∙
05/11/2022
Simple Contrastive Graph Clustering
Contrastive learning has recently attracted plenty of attention in deep ...
research
∙
03/02/2022
DisARM: Displacement Aware Relation Module for 3D Detection
We introduce Displacement Aware Relation Module (DisARM), a novel neural...
research
∙
02/25/2022
Improved Dual Correlation Reduction Network
Deep graph clustering, which aims to reveal the underlying graph structu...
research
∙
02/24/2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Semi-supervised learning (SSL) has long been proved to be an effective t...
research
∙
12/29/2021
Deep Graph Clustering via Dual Correlation Reduction
Deep graph clustering, which aims to reveal the underlying graph structu...
research
∙
12/09/2021
Siamese Attribute-missing Graph Auto-encoder
Graph representation learning (GRL) on attribute-missing graphs, which i...
research
∙
08/05/2021
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
research
∙
08/04/2021
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Video anomaly detection (VAD) has constantly been a vital topic in video...
research
∙
05/01/2021
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
Multi-view clustering (MVC) has been extensively studied to collect mult...
research
∙
05/01/2021
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
Multi-view clustering is an important yet challenging task in machine le...
research
∙
04/27/2021
Multi-view Deep One-class Classification: A Systematic Exploration
One-class classification (OCC), which models one single positive class a...
research
∙
03/21/2021
Deep Distribution-preserving Incomplete Clustering with Optimal Transport
Clustering is a fundamental task in the computer vision and machine lear...
research
∙
03/10/2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Real-world data usually have high dimensionality and it is important to ...
research
∙
12/15/2020
Deep Fusion Clustering Network
Deep clustering is a fundamental yet challenging task for data analysis....
research
∙
09/09/2020
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible
In this paper, we aim to address the problem of solving a non-convex opt...
research
∙
09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
research
∙
08/31/2020
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
Multi-view spectral clustering can effectively reveal the intrinsic clus...
research
∙
08/31/2020
Structured Graph Learning for Clustering and Semi-supervised Classification
Graphs have become increasingly popular in modeling structures and inter...
research
∙
07/13/2020
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning
As a concrete application of multi-view learning, multi-view classificat...
research
∙
05/11/2020
SimpleMKKM: Simple Multiple Kernel K-means
We propose a simple yet effective multiple kernel clustering algorithm, ...
research
∙
03/09/2020
Nearly Optimal Risk Bounds for Kernel K-Means
In this paper, we study the statistical properties of the kernel k-means...
research
∙
02/20/2020
Differentially Private ERM Based on Data Perturbation
In this paper, after observing that different training data instances af...
research
∙
01/15/2020
Outlier Detection Ensemble with Embedded Feature Selection
Feature selection places an important role in improving the performance ...
research
∙
11/28/2019
Understand Dynamic Regret with Switching Cost for Online Decision Making
As a metric to measure the performance of an online method, dynamic regr...
research
∙
08/04/2019
Simultaneous Clustering and Optimization for Evolving Datasets
Simultaneous clustering and optimization (SCO) has recently drawn much a...
research
∙
12/26/2018
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
We provide a new theoretical analysis framework to investigate online gr...
research
∙
09/06/2018
Deep Learning for Generic Object Detection: A Survey
Generic object detection, aiming at locating object instances from a lar...
research
∙
08/20/2018
