Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Journal of Computer Vision

• Publication date

  2015-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s11263-014-0781-x
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition

  2015cited by this paper
• Unsupervised Video Adaptation for Parsing Human Motion

  2014cited by this paper
• Harnessing Lab Knowledge for Real-World Action Recognition

  2014influential reference
• Knowledge Adaptation with PartiallyShared Features for Event DetectionUsing Few Exemplars

  2014influential reference
• Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition

  2014cited by this paper
• How Related Exemplars Help Complex Event Detection in Web Videos?

  2013influential reference
• Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks

  2013influential reference
• An Interactive Approach to Solving Correspondence Problems

  2013cited by this paper
• A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

  2012influential reference
• Batch mode active sampling based on marginal probability distribution matching

  2012cited by this paper
• Video Annotation and Tracking with Active Learning

  2011cited by this paper
• Active learning for piecewise planar 3D reconstruction

  2011influential reference
• Hybrid active learning for cross-domain video concept detection

  2010cited by this paper
• Gaussian Processes for Object Categorization

  2010cited by this paper
• Active learning for large multi-class problems

  2009influential reference
• Semisupervised SVM batch mode active learning with applications to image retrieval

  2009influential reference
• Multi-class active learning for image classification

  2009cited by this paper
• MoSIFT: Recognizing Human Actions in Surveillance Videos

  2009cited by this paper
• Recognizing realistic actions from videos “in the wild”

  2009cited by this paper
• Semi-supervised SVM batch mode active learning for image retrieval

  2008influential reference
• Laplacian optimal design for image retrieval

  2007cited by this paper
• Confidence-based active learning

  2006cited by this paper
• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

  2006influential reference
• Active learning via transductive experimental design

  2006cited by this paper
• A semi-supervised active learning framework for image retrieval

  2005cited by this paper
• Recognizing human actions: a local SVM approach

  2004cited by this paper
• Multilabel SVM active learning for image classification

  2004influential reference
• Active learning using pre-clustering

  2004cited by this paper
• Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval

  2003influential reference
• Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems

  2003cited by this paper
• Incorporating Diversity in Active Learning with Support Vector Machines

  2003cited by this paper
• Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions

  2003cited by this paper
• Automatically labeling video data using multi-class active learning

  2003cited by this paper
• Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary

  2002cited by this paper
• Global linear convergence of an augmented Lagrangian algorithm for solving convex quadratic optimization problems

  2002cited by this paper
• Agile Software Development

  2002influential reference
• Support vector machine active learning for image retrieval

  2001influential reference
• Query Learning with Large Margin Classi ersColin

  2000cited by this paper
• A global geometric framework for nonlinear dimensionality reduction.

  2000cited by this paper
• Selective Sampling for Nearest Neighbor Classifiers

  1999cited by this paper
• Active Learning with Statistical Models

  1996cited by this paper
• Columbia Object Image Library (COIL100)

  1996influential reference
• Random Walks and Electric Networks: REFERENCES

  1987cited by this paper

• Reframing Audio Data Annotation as Domain Adaptation Process: A Multi-Indicator Active Learning Framework

  2026cites this paper
• Boosting Active Prompt Learning via Discriminative Self-Training Dual-Curriculum Learning

  2026cites this paper
• Sample-Efficient Robot Learning for Supervised Effect Prediction Tasks

  2026cites this paper
• ADs: Active Data-Selection for Data Quality Assurance in Data-Sharing Over Advanced Manufacturing Systems

  2026cites this paper
• Learnability-Driven Submodular Optimization for Active Roadside 3D Detection

  2026cites this paper
• A lightweight uncertainty modeling approach for wearable sensor signals based on sample overlap estimation

  2026cites this paper
• Deep Active Learning-Based Jamming Detection in Wireless IoT Networks

  2025cites this paper
• CFP-AL: Combining Model Features and Prediction for Active Learning in Sentence Classification

  2025cites this paper
• Multi-resolution consistency semi-supervised active learning framework for histopathology image classification

  2025cites this paper
• Unsupervised Projected Sample Selector for Active Learning

  2025cites this paper
• Object detection models and active learning for improvement of e-waste collection management systems in Korea.

  2025cites this paper
• HILTS: Human-LLM collaboration for effective data labeling

  2025cites this paper
• Image augmentation with invertible networks in interactive satellite image change detection

  2025cites this paper
• An iterative guided active learning-based approach for real-time sampling in smart manufacturing systems

  2025cites this paper
• Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis

  2025cites this paper
• Boosting Active Learning with Knowledge Transfer

  2025cites this paper
• Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model

  2025cites this paper
• MvAl-MFP: A Multi-Label Classification Method on the Functions of Peptides with Multi-View Active Learning

  2025cites this paper
• Label-frugal satellite image change detection with generative virtual exemplar learning

  2025cites this paper
• A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games

  2025cites this paper
• A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces

  2025cites this paper
• UniSAL: Unified Semi-supervised Active Learning for histopathological image classification.

  2025cites this paper
• LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion

  2025cites this paper
• Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation

  2025cites this paper
• Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models

  2025cites this paper
• Toward Data-Efficient Speech Synthesis: Active Learning-Based Corpus Construction for Multi-Speaker Text-to-Speech Synthesis

  2025cites this paper
• Active Learning for Multiple Target Models

  2025cites this paper
• Open-CRB: Toward Open World Active Learning for 3D Object Detection

  2025cites this paper
• Graph Signal Sampling-Based Active Learning for Hyperspectral Image Classification

  2025cites this paper
• Shift guided active learning

  2025cites this paper
• Batch-mode active ordinal classification based on expected model output change and leadership tree

  2025cites this paper
• Vendi Information Gain for Active Learning and its Application to Ecology

  2025cites this paper
• Table Detection with Active Learning

  2025cites this paper
• Contrastive Preference-Guided Active Learning Approach Based on Ranking Correlation for Real-Time Safety Assessment

  2025cites this paper
• Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection

  2025cites this paper
• What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

  2025cites this paper
• AEXL: Enhancing Path Prediction with Active Explainable Learning via Large Language Models

  2025cites this paper
• Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures

  2025cites this paper
• SEGALL: A Unified Active Learning Framework for Wireless Sensing Data Segmentation

  2025cites this paper
• Active Learning via Vision-Language Model Adaptation with Open Data

  2025cites this paper
• Uncertainty pattern and an integration strategy in flood susceptibility modeling: Limited sample size

  2025cites this paper
• Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Start Active Learning

  2025cites this paper
• Exploring Vision-Based Active 3D Object Detection by Informativeness Characterization

  2025cites this paper
• SurFF: a foundation model for surface exposure and morphology across intermetallic crystals

  2025cites this paper
• Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach

  2025cites this paper
• PALM: Personalized Active Learning for mmWave-Based Activity Recognition

  2025cites this paper
• A Multi-Strategy Active Learning Framework for Enhanced Peripheral Blood Cell Image Detection

  2025cites this paper
• Semi-supervised classification and projection with adaptive flexible structure optimal graph

  2025cites this paper
• Rayleigh-wave dispersion data selection and model fine-tuning based on uncertainty estimation

  2025cites this paper
• Hypothesis Perturbation for Active Learning

  2025cites this paper
• Active learning for cross-modal cardiac segmentation with sparse annotation

  2025cites this paper
• DecTrain: Deciding When to Train a Monocular Depth DNN Online

  2024cites this paper
• Sample Efficient Robot Learning in Supervised Effect Prediction Tasks

  2024cites this paper
• An active semi-supervised transfer learning method for robot pose error prediction and compensation

  2024cites this paper
• Partial annotations in active learning for semantic segmentation

  2024cites this paper
• Active Learning for Vision-Language Models

  2024cites this paper
• Active Learning for Open-Set Object Detection with Large Multimodal Model

  2024cites this paper
• Transfer learning and its extensive appositeness in human activity recognition: A survey

  2024cites this paper
• Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval

  2024influential citation
• Active Evaluation Acquisition for Efficient LLM Benchmarking

  2024cites this paper
• DecTrain: Deciding When to Train a DNN Online

  2024cites this paper
• IndusSynthe: Synthetic data using human-machine intelligence hybrid for enhanced industrial surface defect detection through self-updating with multi-view filtering

  2024cites this paper
• Enhancing Active Learning With Semi-Supervised Loss Prediction Modules

  2024cites this paper
• Hybrid Active Learning with Uncertainty-Weighted Embeddings

  2024cites this paper
• Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency

  2024cites this paper
• Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling

  2024cites this paper
• Active Learning in Industrial Defect Detection: A Dynamic Approach to Uncertainty and Representativeness

  2024cites this paper
• DCoM: Active Learning for All Learners

  2024cites this paper
• Adaptive graph active learning with mutual information via policy learning

  2024cites this paper
• Salutary Labeling with Zero Human Annotation

  2024cites this paper
• MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning

  2024cites this paper
• Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning

  2024cites this paper
• Box-Level Class-Balanced Sampling For Active Object Detection

  2024cites this paper
• Making Better Use of Unlabelled Data in Bayesian Active Learning

  2024cites this paper
• Cost-effective Data Labelling for Graph Neural Networks

  2024cites this paper
• Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving

  2024cites this paper
• FICOM: an effective and scalable active learning framework for GNNs on semi-supervised node classification

  2024cites this paper
• ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems

  2024cites this paper
• Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization

  2024cites this paper
• Active Learning with Core-Set Sampling and Scale-Sensitive Loss for 3D Object Detection

  2024cites this paper
• A Short Survey on Importance Weighting for Machine Learning

  2024cites this paper
• Say No to Redundant Information: Unsupervised Redundant Feature Elimination for Active Learning

  2024cites this paper
• Vision transformers are active learners for image copy detection

  2024cites this paper
• Downstream-Pretext Domain Knowledge Traceback for Active Learning

  2024cites this paper
• ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data

  2024cites this paper
• A cost focused framework for optimizing collection and annotation of ultrasound datasets

  2024cites this paper
• Querying Easily Flip-flopped Samples for Deep Active Learning

  2024cites this paper
• Batch Active Learning of Reward Functions from Human Preferences

  2024cites this paper
• Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond

  2024cites this paper
• GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

  2024cites this paper
• Combat Target Classification Method Based on Human-Machine Agent with Double-Q Policy Under Weak Labeling Conditions

  2024cites this paper
• Inductive State-Relabeling Adversarial Active Learning With Heuristic Clique Rescaling

  2024cites this paper
• Similarity-based active learning methods

  2024cites this paper
• Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios

  2024cites this paper
• Real-Time Selection Under General Constraints via Predictive Inference

  2024cites this paper
• Tackling Micro-Expression Data Shortage via Dataset Alignment and Active Learning

  2023cites this paper
• Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

  2023cites this paper
• Diffusion-Based Sampling for Deep Active Learning

  2023cites this paper
• Optimal Subsampling via Predictive Inference

  2023cites this paper
• Towards Open World Active Learning for 3D Object Detection

  2023cites this paper