yusuke1997/dblp-id-title huggingface dataset:
Intentional Image Similarity Search
How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?
Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network
Improving Iris Recognition through New Target Vectors in MLP Artificial Neural Networks
Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain
Maximum Echo-State-Likelihood Networks for Emotion Recognition
An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming
Clustering Very Large Dissimilarity Data Sets
Combining Classical and Deep Learning Methods for Twitter Sentiment Analysis
VAeViT: Fusing Multi-views for Complete 3D Object Recognition
Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time
NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals
Artificial Neural Networks in Pattern Recognition - 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10-12, 2024, Proceedings
Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task
Do Minimal Complexity Least Squares Support Vector Machines Work?
Automatic Hand Sign Recognition: Identify Unusuality Through Latent Cognizance
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings
Structured (De)composable Representations Trained with Neural Networks
Large Margin Distribution Learning
Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Research on the Identification of Common Economic Shellfish in Jiangsu Based on Fused-ResNet Network
A k -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning
Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants
Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines
A New Monte Carlo-Based Error Rate Estimator
Adaptive Feedback Inhibition Improves Pattern Discrimination Learning
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation
Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla Characters
Neural Network Cascade for Facial Feature Localization
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals
Classification of Segmented Objects through a Multi-net Approach
A Hybrid Deep Learning Approach for Forecasting Air Temperature
Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images
Minimal Complexity Support Vector Machines
Leveraging LSTM Embeddings for River Water Temperature Modeling
Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis
Real-Time Emotion Recognition from Speech Using Echo State Networks
Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation
Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input
Deep Learning Methods for Image Guidance in Radiation Therapy
Pattern Recognition Pipeline for Neuroimaging Data
A Time Series Classification Approach for Motion Analysis Using Ensembles in Ubiquitous Healthcare Systems
Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques
Visual Classification of Images by Learning Geometric Appearances Through Boosting
Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts
Learning Neural Models for End-to-End Clustering
On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology
Neural Decompiling of Tracr Transformers
A Hybrid Neuroevolutionary Approach to the Design of Convolutional Neural Networks for 2D and 3D Medical Image Segmentation
Machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson's Disease
Palmprint Classification via Filter Faces and Feature Extraction
Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech
Abstract Echo State Networks
Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation
Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification
Feature Ranking Ensembles for Facial Action Unit Classification
Mining Software Aging Patterns by Artificial Neural Networks
On the Harmony Search Using Quaternions
Improving Generalization Abilities of Maximal Average Margin Classifiers
White Blood Cell Classification of Porcine Blood Smear Images
The Block Generative Topographic Mapping
How (Not) to Measure Bias in Face Recognition Networks
Feature Selection with Rényi Min-Entropy
A Decorrelation Approach for Pruning of Multilayer Perceptron Networks
Decision Fusion on Boosting Ensembles
Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
A Simulation Study on Energy Optimization in Building Control with Reinforcement Learning
Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals
Recognition of Sequences of Graphical Patterns
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics
Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks
Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes
Applications of Generative Adversarial Networks to Dermatologic Imaging
Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER ^3 )
iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool
Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR System
Kernel Robust Soft Learning Vector Quantization
Sentence Understanding and Learning of New Words with Large-Scale Neural Networks
Introducing an Atypical Loss: A Perceptual Metric Learning for Image Pairing
Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study
Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs
KP-YOLO: A Modification of YOLO Algorithm for the Keypoint-Based Detection of QR Codes
Multi-class Vehicle Type Recognition System
Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers
A Local Tangent Space Alignment Based Transductive Classification Algorithm
Experiments with Supervised Fuzzy LVQ
Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images
Fuzzy Evolutionary Probabilistic Neural Networks
Time Series Classification in Reservoir- and Model-Space: A Comparison
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi
End-Shape Recognition for Arabic Handwritten Text Segmentation
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds
Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four
Medical Deepfake Detection using 3-Dimensional Neural Learning
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
A Decision Support System for the Prediction of the Trabecular Fracture Zone
Learning Parameters in Deep Belief Networks Through Firefly Algorithm
F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data
Artificial Neural Networks in Pattern Recognition - 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2-4, 2020, Proceedings
A Bio-inspired Neural Model for Colour Image Segmentation
Researching on Multi-net Systems Based on Stacked Generalization
Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings
Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools
An Experimental Study on Training Radial Basis Functions by Gradient Descent
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization
VLSI Architecture of the Fuzzy Fingerprint Vault System
Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings
Learning Sequential Data with the Help of Linear Systems
Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization
A Review of Capsule Networks in Medical Image Analysis
Cluster Analysis of Cortical Pyramidal Neurons Using SOM
Assessment of Pharmaceutical Patent Novelty with Siamese Neural Networks
Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation
Utilization of Vision Transformer for Classification and Ranking of Video Distortions
Using Self Organizing Maps to Analyze Demographics and Swing State Voting in the 2008 U.S. Presidential Election
A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture
PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition
License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition
Low-Dimensional Data Representation in Data Analysis
Learning Graph Matching with Graph Neural Networks
A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences
Incremental Construction of Low-Dimensional Data Representations
Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers
Selecting Features from Foreign Classes
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces
A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks
Artificial Neural Networks in Pattern Recognition - 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings
Investigating of Preprocessing Techniques and Novel Features in Recognition of Handwritten Arabic Characters
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data
Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions
Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration
Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario
Representative Prototype Sets for Data Characterization and Classification
Part-Based High Accuracy Recognition of Serial Numbers in Bank Notes
Object Detection in Floor Plan Images
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
The Mathematics of Divergence Based Online Learning in Vector Quantization
A Novel Representation of Graphical Patterns for Graph Convolution Networks
Multiple Classifier Systems for Embedded String Patterns
DLL: A Fast Deep Neural Network Library
Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams
Density Based Clustering via Dominant Sets
Traffic Sign Classifier Adaption by Semi-supervised Co-training
Extracting Gamma-Ray Information from Images with Convolutional Neural Network Methods on Simulated Cherenkov Telescope Array Data
Unsupervised Active Learning of CRF Model for Cross-Lingual Named Entity Recognition
Pattern Classification Using a Penalized Likelihood Method
Orientation Histograms for Face Recognition
Emotion Recognition in Speech with Deep Learning Architectures
Minimizing Cross Intersections in Graph Drawing via Linear Splines
Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images
Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling
Typing Plasmids with Distributed Sequence Representation
Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
A Deep Learning Approach for Efficient Registration of Dual View Mammography
Feature Selection by Block Addition and Block Deletion
ATM Protection Using Embedded Deep Learning Solutions
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning
Robustness of a CAD System on Digitized Mammograms
On Gestures and Postural Behavior as a Modality in Ensemble Methods
On the Effects of Constraints in Semi-supervised Hierarchical Clustering
How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise
Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis
Gaussian-Mixture Neural Networks
Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks
ML-Based Trading Models: An Investigation During COVID-19 Pandemic Crisis
Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings
Incremental Learning by Message Passing in Hierarchical Temporal Memory
Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint
Parallelized Kernel Patch Clustering
Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings
Graph Augmentation for Neural Networks Using Matching-Graphs
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems
Prediction of Insertion-Site Preferences of Transposons Using Support Vector Machines and Artificial Neural Networks
On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification
Support Vector Regression Using Mahalanobis Kernels
Incremental Manifold Learning Via Tangent Space Alignment
Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering
Vision Transformer Features-Based Leukemia Classification
What's Wrong with Computer Vision?
Going for 2D or 3D? Investigating Various Machine Learning Approaches for Peach Variety Identification
Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion
Experiments in Modeling Disagreement
Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis
Supervised Batch Neural Gas
Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection
Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs
The Mixture of Neural Networks as Ensemble Combiner
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins
A New Multi-class Fuzzy Support Vector Machine Algorithm
Automatic Interpretation of 18 F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroidism: A Novel Dataset with Benchmarks
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Deep Learning in the Wild
A Reinforcement Learning Algorithm to Train a Tetris Playing Agent
Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification
Evaluating Support Vector Machines with Multiple Kernels by Random Search
Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Historical Handwritten Document Segmentation by Using a Weighted Loss
Incremental Training of Support Vector Machines Using Truncated Hypercones
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
Transformer-Encoder Generated Context-Aware Embeddings for Spell Correction
Comparing Incremental Learning Strategies for Convolutional Neural Networks
Probabilistic Models Based on the Pi-Sigmoid Distribution
Grayscale Images and RGB Video: Compression by Morphological Neural Network
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction
Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning
Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks
Deep Multi-label Classification of Personality with Handwriting Analysis
Combining Methods for Dynamic Multiple Classifier Systems
Comparative Study of Deep Learning Models in Melanoma Detection
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks
Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles
Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks
Active Learning for Speech Event Detection in HCI
Co-training with Credal Models
An Improved Pix2Pix GAN for Medical Image Generation
Using CNNs to Optimize Numerical Simulations in Geotechnical Engineering
Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis
Named Entity Disambiguation at Scale
A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)
Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling
An Eye Detection System Based on Neural Autoassociators
Facial Expression Recognition Using Game Theory
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels
A Neural Network Approach to Similarity Learning
Approximation of Graph Edit Distance by Means of a Utility Matrix
A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs
Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks
Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics
Inductive-Transductive Learning with Graph Neural Networks
Automatic Bridge Crack Detection - A Texture Analysis-Based Approach
Scene Change Detection Based on Audio-Visual Analysis and Interaction
Confidence of Ground Control for Validating Stereo Terrain Reconstruction
Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization
Measurement of defect depth location
A semidiscrete nonlinear scale-space theory and its relation to the Perona - Malik paradox
Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry
Polygon Decomposition Based on the Straight Line Skeleton
Principles of Constructing a Performance Evaluation Protocol for Graphics Recognition Algorithms
Calibration of Panoramic Cameras Using 3D Scene Information
Symmetric Bi- and Trinocular Stereo: Tradeoffs between Theoretical Foundations and Heuristics
From Digital Plane Segmentation to Polyhedral Representation
Integrative approaches to "shape from motion"
On the verification of graphical primitives in image analysis
Surface from Motion - without and with Calibration
Recognition of Images Degraded by Linear Motion Blur without Restoration
Incremental image interpretation
Algebraic method for solution of some best matching problems
Pose Estimation Using Geometric Constraints
Associative memory for images by recurrent neural subnetworks
Performance Characteristics of Low-level Motion Estimators in Spatiotemporal Images
Medial Set, Boundary, and Topology of Random Point Sets
Quality in Computer Vision
Pyramid Transform and Scale-Space Analysis in Image Analysis
Pictorial pattern recognition by Boolean formulas
Achievements and Challenges in Recognizing and Reconstructing Civil Infrastructure
Towards a generalized primal sketch
Quantification of the Spatial Distributionof Line Segments with Applications to CADof Chest X-Ray CT Images
A graph network for image segmentation
An Introduction to Random Forests for Multi-class Object Detection
Using wavelets for feature detection
Piecewise Linear Approximation of Planar Jordan Curves and Arcs: Theory and Applications
A Variational Approach to the Design of Early Vision Algorithms
Perspective and Non-perspective Camera Models in Underwater Imaging - Overview and Error Analysis
Real-World Stereo-Analysis Evaluation
Segmentation with Volumetric Part Models
Optimal models for visual recognition
Databases for Performance Characterization
Computation of intermediate for 3DTV
Dense depth maps by active color illumination and image pyramids
Traffic Observation and Situation Assessment
An algorithm for the planar Johnson-Mehl tessellation
Content-Based Image Retrieval Using Regional Representation
Theoretical Foundations of Computer Vision, 7th TFCV, March 1994, Dagstuhl, Germany
Subjective contours detection
Performance Analysis of Shape Recovery by Random Sampling and Voting
Implicit 3D Approach to Image Generation: Object-Based Visual Effects by Linear Processing of Multiple Differently Focused Images
The Role of Theory in the Evaluation of Image Motion Algorithms
Topological Analysis and Characterization of Discrete Scalar Fields
Application of topology for evaluation pictorial structures
A new approach to shape from shading
Geometry, Morphology, and Computational Imaging, 11th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, April 7-12, 2002, Revised Papers
Advances in Computer Vision, [8th Theoretical Foundations of Computer Vision, TFCV, March 1996, Dagstuhl, Germany]
Towards Fast Image-Based Localization on a City-Scale
External versus Internal Parameterizations for Lengths of Curves with Nonuniform Samplings
Bivariate local signal representations
Texture feature based interaction maps: potential and limits
Categorization through temporal analysis of patterns
A New Class of Morphological Pyramids for Multiresolution Image Analysis
Multi-Image Analysis, 10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000, Revised Papers
Lines as the Fundamental Unit of Vision
Segmentation of behavioral spaces for navigation tasks
Input Guided Performance Evaluation
Order of points on a line segment
Unsupervised Learning for Robust Texture Segmentation
Multi-valued Images and Their Separation
Computation of time-varying motion and structure parameters from real image sequences
Theoretical Foundations of Computer Vision, Proceedings of the 6th Workshop 1992, Buckow (Märkische Schweiz), March 30-April 3, 1992
Multiresolution feca detection
Recent uniqueness results in shape from shading
CAD based 3d object recognition on range images
Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow
Invariant Thinning and Distance Transform
Theoretical Foundations of Anisotropic Diffusion in Image Processing
Matching Multiple Views by the Least Square Correlation
Visual Sign Language Recognition
Root Images of Median Filters - Semi-topological Approach