yusuke1997/dblp-id-title huggingface dataset:
A Robust Method for Blood Vessel Extraction in Endoscopic Images with SVM-based Scene Classification
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection
Measuring Linearity of Planar Curves
Region-based Abnormal Motion Detection in Video Surveillance
Probabilistic Evidence Accumulation for Clustering Ensembles
Path of Solutions for Fused Lasso Problems
Learning Discriminative Mid-Level Patches for Fast Scene Classification
Efficient and Versatile 3D Laser Mapping for Challenging Environments
MaskADNet: MOTS Based on ADNet
A Novel Approach for Anomaly Detection in Power Consumption Data
Converting Image Labels to Meaningful and Information-rich Embeddings
Exploring BIM Data by Graph-based Unsupervised Learning
CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization
Sift-based Camera Localization using Reference Objects for Application in Multi-camera Environments and Robotics
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks
Object Tracking using Correction Filter Method with Adaptive Feature Selection
Learning Cross-modal Representations with Multi-relations for Image Captioning
Multiple Ellipse Detection by using RANSAC and DBSCAN Method
Real-World Indoor Location Assessment with Unmodified RFID Antennas
Joint Under and Over Water Calibration of a Swimmer Tracking System
On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
HealthyClassroom - A Proof-of-Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning-teaching Process using Heterogeneous Sensors
How New Information Criteria WAIC and WBIC Worked for MLP Model Selection
Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification
Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold
Lightweight Audio-Based Human Activity Classification Using Transfer Learning
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Eating and Drinking Recognition via Integrated Information of Head Directions and Joint Positions in a Group
The Importance of Models in Data Analysis with Small Human Movement Datasets: Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data
Entropy based Biometric Template Clustering
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search
New Commercial Representation for Cattle Information Gathering
Classification of the Liver Tumors using Multiresolution, Superior Order EOCM Textural Features
Multi-View Skeleton Analysis for Human Action Segmentation Tasks
Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models
ThinkBIG - Understanding the Impact of Big Data on Science and Society
Novel Clustering based on Discrete Morse Technique
Baseline Estimation in Arabic Handwritten Text-Line - Evaluation on AHTID/MW Database
Multi-level Feature Selection for Oriented Object Detection
Matching CAD Model and Image Features for Robot Navigation and Inspection of an Aircraft
Rule Management for Information Extraction from Title Pages of Academic Papers
Near-Boolean Optimization: A Continuous Approach to Set Packing and Partitioning
Aircraft Unsteady Aerodynamic Hybrid Modeling Based on State-Space Representation and Neural Network
Condensing Deep Fisher Vectors: To Choose or to Compress?
Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study
Multiobjective Bacterial Foraging Optimization using Archive Strategy
Fuzzy Templates for Pair-wise Multi-class Classification
Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks
Document Image Dewarping using Deep Learning
CFS- InfoGain based Combined Shape-based Feature Vector for Signer Independent ISL Database
Automatic Counting of Wheat Spikes from Wheat Growth Images
Structure from Motion - ToF-aided 3D Reconstruction of Isometric Surfaces
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-service Providers
Deterministic Method for Automatic Visual Grading of Seed Food Products
Detecting Overgrown Plant Species Occluding Other Species in Complex Vegetation in Agricultural Fields Based on Temporal Changes in RGB Images and Deep Learning
Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models
People Counting based on Kinect Depth Data
Tensor Deep Stacking Networks and Kernel Deep Convex Networks for Annotating Natural Scene Images
Accelerated Nonlinear Gaussianization for Feature Extraction
Language-Aware and Language-Agnostic Multilingual Speech Recognition with a Single Model
LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion
Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework
Stream Volume Prediction in Twitter with Artificial Neural Networks
Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF
Detecting a Fetus in Ultrasound Images using Grad CAM and Locating the Fetus in the Uterus
Useful Pattern Mining on Time Series - Applications in the Stock Market
Comparison of Algorithms for Tree-top Detection in Drone Image Mosaics of Japanese Mixed Forests
Recent Advances in Statistical Mixture Models: Challenges and Applications
Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization
Fixed Tasks for Continuous Authentication via Smartphone
An Experimental Evaluation of the Adaptive Sampling Method for Time Series Classification and Clustering
The Principle of Least Cognitive Action in Vision
Automatic Segmentation of Necrosis Zones after Radiofrequency Ablation of Spinal Metastases
Recognition of Handwritten Music Symbols using Meta-features Obtained from Weak Classifiers based on Nearest Neighbor
Prostate Cancer Detection, Segmentation, and Classification using Deep Neural Networks
Vision Transformer Interpretability via Prediction of Image Reflected Relevance Among Tokens
A Low Illumination Environment Motion Detection Method based on Dictionary Learning
Optical Flow Estimation with Confidence Measures for Super-resolution based on Recursive Robust Total Least Squares
Local and Global Feature Selection for Prosodic Classification of the Word's Uses
Meaningful Thickness Detection on Polygonal Curve
A Statistic Criterion for Reducing Indeterminacy in Linear Causal Modeling
Occlusion Detection for Face Image Quality Assessment
Orientation of a Multicopter in Space Based on Recognition of Images of the Earth's Surface
Speech Recognition for Minority Languages Using HuBERT and Model Adaptation
Improving the Grid-based Clustering by Identifying Cluster Center Nodes and Boundary Nodes Adaptively
Calibration of a Telecentric Structured-light Device for Micrometric 3D Reconstruction
Few-Shot Class Incremental Learning with Generative Feature Replay
Interdependent Multi-task Learning for Simultaneous Segmentation and Detection
The Critical Feature Dimension and Critical Sampling Problems
Explainable Outlier Detection Using Feature Ranking for k-Nearest Neighbors, Gaussian Mixture Model and Autoencoders
Patterns in Pupillary Diameter Variation While Reading Portuguese Language Texts
Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis
Automatic Identification of Non-biting Midges (Chironomidae) using Object Detection and Deep Learning Techniques
SMVLift: Lifting Semantic Segmentation to 3D on XR Devices
Neural Network-based Human Motion Smoother
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
Greedy Approach for Document Clustering
Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model
Integrating MicroRNA and mRNA Expression Data for Cancer Classification
Real-Time Gesture Recognition using a Particle Filtering Approach
Implications of Z-Normalization in the Matrix Profile
Orthogonal Neighborhood Preserving Projection using L1-norm Minimization
Cyber Aggression and Cyberbullying Identification on Social Networks
A Re-Ranking Method Using K-Nearest Weighted Fusion for Person Re-Identification
Hierarchical Electricity Demand Forecasting by Exploring the Electricity Consumption Patterns
Electricity Consumption Model Analysis based on Sparse Principal Components
A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection
Improved Boosting Performance by Exclusion of Ambiguous Positive Examples
A MAP Approach to Evidence Accumulation Clustering
Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification
Artistic Style Characterization of Vincent Van Gogh s Paintings using Extracted Features from Visible Brush Strokes
Video Activity Recognition Using Sequence Kernel Based Support Vector Machines
A Hierarchical Classification for Automatic Assessment of the Reception Quality Using Videos of Volleyball and Deep Learning
Pattern Recognition Applications and Methods - 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers
An Empirical Comparison of Support Vector Machines Versus Nearest Neighbour Methods for Machine Learning Applications
Towards an Interpretable Spanish Sign Language Recognizer
Fast Non-minimal Solvers for Planar Motion Compatible Homographies
Statistically Representative Cloud of Particles for Crowd Flow Tracking
Pattern Recognition Applications and Methods - 13th International Conference, ICPRAM 2024, Rome, Italy, February 24-26, 2024, Revised Selected Papers
Crater Detection using CGC - A New Circle Detection Method
Sieving Camera Trap Sequences in the Wild
Feature Discretization with Relevance and Mutual Information Criteria
Predicting Classifier Combinations
Noise Robustness of Data-Driven Star Classification
Deep Learning Based Text Translation and Summarization Tool for Hearing Impaired Using Indian Sign Language
Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition
Adaptive Classification for Person Re-identification Driven by Change Detection
A Holistic Classification Optimization Framework with Feature Selection, Preprocessing, Manifold Learning and Classifiers
Analysis of Regionlets for Pedestrian Detection
Intra-class Variance Among Multiple Samples of the Same Person's Fingerprint in a Cooperative User Scenario
Self-adaptive Norm Update for Faster Gradient-based L2 Adversarial Attacks and Defenses
Large Age Gap Face Verification by Learning GAN Synthesized Prototype Representations
Applying Automated Machine Learning to Improve Budget Estimates for a Naval Fleet Maintenance Facility
Deep Learning Semi-Supervised Strategy for Gamma/Hadron Classification of Imaging Atmospheric Cherenkov Telescope Events
Light U-Net with a New Morphological Attention Gate Model Application to Analyse Wood Sections
A Virtual Glove System for the Hand Rehabilitation based on Two Orthogonal LEAP Motion Controllers
Assessing the Number of Clusters in a Mixture Model with Side-information
A Comparison of Multivariate Mutual Information Estimators for Feature Selection
Generative Data Augmentation for Few-Shot Domain Adaptation
Active Output Selection Strategies for Multiple Learning Regression Models
A Descriptor based on Intensity Binning for Image Matching
Integrating Local Information-based Link Prediction Algorithms with OWA Operator
Lifelong Learning Needs Sleep: Few-Shot Incremental Learning Enhanced by Sleep
Evolutionary Training Set Pruning for Boosting Interpolation Kernel Machines
Evidence Accumulation Approach applied to EEG Analysis
A Study of Various Text Augmentation Techniques for Relation Classification in Free Text
Visual Navigation for the Blind - Path and Obstacle Detection
Acoustic Detection of Violence in Real and Fictional Environments
Unsupervised Internal Learning
Real-Time Swimmer Tracking on Sparse Camera Array
Automatic Subjective Answer Evaluation
Instance Selection on CNNs for Alzheimer's Disease Classification from MRI
CRVM: Circular Random Variable-based Matcher - A Novel Hashing Method for Fast NN Search in High-dimensional Spaces
Optimal Linear Imputation with a Convergence Guarantee
A Manifold Learning Framework for the Detection of Cardiac Disorders in Acoustic Signals
Pluggable Drone Imaging Analysis Framework for Mob Detection during Open-air Events
FakeRevealer: A Multimodal Framework for Revealing the Falsity of Online Tweets Using Transformer-Based Architectures
Human Action Recognition using Continuous HMMs and HOG/HOF Silhouette Representation
Relative Pose Estimation in Binocular Vision for a Planar Scene using Inter-Image Homographies
Measuring Linearity of Curves
Unsupervised Learning of Semantics of Object Detections for Scene Categorization
Nearest Neighbor Search using Sketches as Quantized Images of Dimension Reduction
To be Defined
Similarity Assessment as a Dual Process Model of Counting and Measuring
Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance
Gesture Recognition on a New Multi-Modal Hand Gesture Dataset
Anomaly Detection for an Elderly Person Watching System using Multiple Power Consumption Models
Solving Perception Uncertainty Problems in Robotics
Resilient Propagation for Multivariate Wind Power Prediction
Multi-modal Medical Image Registration by Local Affine Transformations
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks
High Level Shape Representation in Printed Gujarati Character
Feature-based Analysis of Gait Signals for Biometric Recognition - Automatic Extraction and Selection of Features from Accelerometer Signals
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020, Valletta, Malta, February 22-24, 2020
1D-DiffNPHR: 1D Diffusion Neural Parametric Head Reconstruction Using a Single Image
ShapeAug++: More Realistic Shape Augmentation for Event Data
On Order Equivalences between Distance and Similarity Measures on Sequences and Trees
Statistical Shape Model for Simulation of Realistic Endometrial Tissue
Spotting Differences Among Observations
A New Neural Network Model for Prediction Next Stage of Alzheimer's Disease
Semi-Supervised Cloud Detection with Weakly Labeled RGB Aerial Images using Generative Adversarial Networks
Classification of Oral Cancer and Leukoplakia Using Oral Images and Deep Learning with Multi-Scale Random Crop Self-Training
Initialization Framework for Latent Variable Models
Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning
Toward User-adaptive Visualizations
Heterogeneous Transfer Learning in Sports: Human Action Recognition for Gender and Outcome Prediction
Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation
4D Polygonal Approximation of the Skeleton for 3D Object Decomposition
Time Evolving Networks in Finance and Medicine
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016, Rome, Italy, February 24-26, 2016
Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems
Algorithm to Maintain Linear Element in 3D Level Set Topology Optimization
Objective and Subjective Metrics for 3D Display Perception Evaluation
Symbolic Representation over Skeleton Endpoints for Classification of Medical X-ray Images
Lightweight Deep Convolutional Network for Tiny Object Recognition
Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data
Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data
Rethinking Model Selection Beyond ImageNet Accuracy for Waste Classification
Computing the Number of Bubbles and Tunnels of a 3-D Binary Object
Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting
A Novel Dictionary Learning based Multiple Instance Learning Approach to Action Recognition from Videos
Towards a Low-cost Vision System for Real-time Pavement Condition Assessment
An Efficient Hashing Algorithm for NN Problem in HD Spaces
Generalized Dilation Structures in Convolutional Neural Networks
Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network
Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging
Identification of Types of Corrosion through Electrochemical Noise using Machine Learning Techniques
Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
Clustering Complex Multimedia Objects using an Ensemble Approach
Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information
Gesture Recognition and Multi-modal Fusion on a New Hand Gesture Dataset
Boosting Re-identification in the Ultra-running Scenario
Identification of Sustainable Locations in Pigeon Flights using Flow Simulation Method
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, Funchal, Madeira - Portugal, January 16-18, 2018
Geometry Analysis of Superconducting Cables for the Optimization of Global Performances
Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model
An Approach for Parameters Evaluation in Layered Structural Materials based on DFT Analysis of Ultrasonic Signals
HMM based Classifier for the Recognition of Roots of a Large Canonical Arabic Vocabulary
Discriminative Dimensionality Reduction for the Visualization of Classifiers
Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting
Toward Moving Objects Detection in 3D-Lidar and Camera Data
Surface EMG Signal Classification for Parkinson's Disease using WCC Descriptor and ANN Classifier
Hybrid Model-based Defect Analysis of Thermoelectric Cooler Components
Face Class Modeling based on Local Appearance for Recognition
HFDSegNet: Holistic and Generalized Finger Dorsal ROI Segmentation Network
A Pixel Labeling Framework for Comparing Texture Features Application to Digitized Ancient Books
A Practical Framework for the Development of Augmented Reality Applications by using ArUco Markers
The Role of the Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction
The Interplay of Statistical and Structural Pattern Recognition from a Machine Learning Perspective
Image Quality Assessment for Photo-consistency Evaluation on Planar Classification in Urban Scenes
Simple Domain Adaptation for CAD based Object Recognition
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free
Linear Projection Methods - An Experimental Study for Regression Problems
Using DICOM Tags for Clustering Medical Radiology Images into Visually Similar Groups
Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images
A Ground Truth Vision System for Robotic Soccer
Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs
Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods
Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer
A Tensor-based Technique for Structure-aware Image Inpainting
A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data
PubSearch - A Hierarchical Heuristic Scheme for Ranking Academic Search Results
Sparse-Reduced Computation - Enabling Mining of Massively-large Data Sets
A Deep Convolutional Neural Network for Location Recognition and Geometry based Information
Enhanced Routing Algorithm for Opportunistic Networking - On the Improvement of the Basic Opportunistic Networking Routing Algorithm by the Application of Machine Learning
Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation
Probabilistic Discriminative Dimensionality Reduction for Pose-Based Action Recognition
Surface EMG Signal Segmentation and Classification for Parkinson's Disease Based on HMM Modelling
Broadcast News Phoneme Recognition by Sparse Coding
Data Scarcity: Methods to Improve the Quality of Text Classification
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification
Curve Reconstruction from Noisy and Unordered Samples
Graph Recognition by Seriation and Frequent Substructures Mining
A Cellular Automata based Classification Algorithm
Deep Learning for Radar Pulse Detection
Pattern Recognition Applications and Methods - 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers
Small Patterns Detection in Historical Digitised Manuscripts Using Very Few Annotated Examples
Estimation of Correlation between Texture Features and Surface Parameters for Milled Metal Parts
TrajNet: An Efficient and Effective Neural Network for Vehicle Trajectory Classification
Interactive Design Support for Architecture Projects During Early Phases Based on Recurrent Neural Networks
Planar Motion Bundle Adjustment
Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow
Feature Detection and Description using a Harris-Hessian/FREAK Combination on an Embedded GPU
An Effective Deep Network for Head Pose Estimation without Keypoints
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification
Two-layer Residual Feature Fusion for Object Detection
Keyframe and GAN-Based Data Augmentation for Face Anti-Spoofing
Explainable Clustering Applied to the Definition of Terrestrial Biomes
Deep Analysis and Detection of Firewall Anomalies Using Knowledge Graph
Data-Centric Optimization of Enrollment Selection in Speaker Identification
A Statistical Approach to Build 3D Prototypes from a 3D Anthropometric Survey of the Spanish Female Population
Perspectively Correct Construction of Virtual Views
Single Hyperspectral Image Super-Resolution Utilizing Implicit Neural Representations
Non Contact Stress Assessment Based on Deep Tabular Method
A Step Towards the Explainability of Microarray Data for Cancer Diagnosis with Machine Learning Techniques
GPS Trajectory Data Enrichment based on a Latent Statistical Model
Table-structure Recognition Method Consisting of Plural Neural Network Modules
A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19
Fast Arabic Glyph Recognizer based on Haar Cascade Classifiers
Deep Neural Network for Estimating Value of Quality of Life in Driving Scenes
Blood Vessel Delineation in Endoscopic Images with Deep Learning Based Scene Classification
A Combined SVM/HCRF Model for Activity Recognition based on STIPs Trajectories
Cooperative Gesture Recognition - Learning Characteristics of Classifiers and Navigating the User to an Ideal Situation
Incremental Whole Plate ALPR Under Data Availability Constraints
Object Detection and Text Recognition in Large-scale Technical Drawings
Hierarchical Traffic Sign Recognition for Autonomous Driving
Introducing the Φ-Descriptor - A Most Versatile Relative Position Descriptor
Pattern Recognition Applications and Methods - 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, Virtual Event, February 4-6, 2021 and February 3-5, 2022, Revised Selected Papers