Drift Anticipation with Forgetting to Improve Evolving Fuzzy System
Clément Leroy,
Eric Anquetil,
Nathalie Girard
![Responsive image](/icpr/media/video_thumbnails/11571.jpg)
Auto-TLDR; A coherent method to integrate forgetting in Evolving Fuzzy System
Similar papers
Algorithm Recommendation for Data Streams
Jáder Martins Camboim De Sá, Andre Luis Debiaso Rossi, Gustavo Enrique De Almeida Prado Alves Batista, Luís Paulo Faina Garcia
![Responsive image](/icpr/media/video_thumbnails/11601.jpg)
Auto-TLDR; Meta-Learning for Algorithm Selection in Time-Changing Data Streams
Abstract Slides Poster Similar
Naturally Constrained Online Expectation Maximization
Daniela Pamplona, Antoine Manzanera
![Responsive image](/icpr/media/video_thumbnails/11521.jpg)
Auto-TLDR; Constrained Online Expectation-Maximization for Probabilistic Principal Components Analysis
Abstract Slides Poster Similar
Learning Parameter Distributions to Detect Concept Drift in Data Streams
Johannes Haug, Gjergji Kasneci
![Responsive image](/icpr/media/video_thumbnails/12023.jpg)
Auto-TLDR; A novel framework for the detection of concept drift in streaming environments
Abstract Slides Poster Similar
Class-Incremental Learning with Pre-Allocated Fixed Classifiers
Federico Pernici, Matteo Bruni, Claudio Baecchi, Francesco Turchini, Alberto Del Bimbo
![Responsive image](/icpr/media/video_thumbnails/11624.jpg)
Auto-TLDR; Class-Incremental Learning with Pre-allocated Output Nodes for Fixed Classifier
Abstract Slides Poster Similar
Semi-Supervised Class Incremental Learning
Alexis Lechat, Stéphane Herbin, Frederic Jurie
![Responsive image](/icpr/media/video_thumbnails/12142.jpg)
Auto-TLDR; incremental class learning with non-annotated batches
Abstract Slides Poster Similar
Dual-Memory Model for Incremental Learning: The Handwriting Recognition Use Case
Mélanie Piot, Bérangère Bourdoulous, Aurelia Deshayes, Lionel Prevost
![Responsive image](/icpr/media/thumbnails/1506_FI.pdf.jpg)
Auto-TLDR; A dual memory model for handwriting recognition
Categorizing the Feature Space for Two-Class Imbalance Learning
Rosa Sicilia, Ermanno Cordelli, Paolo Soda
![Responsive image](/icpr/media/video_thumbnails/11615.jpg)
Auto-TLDR; Efficient Ensemble of Classifiers for Minority Class Inference
Abstract Slides Poster Similar
Classifier Pool Generation Based on a Two-Level Diversity Approach
Marcos Monteiro, Alceu Britto, Jean Paul Barddal, Luiz Oliveira, Robert Sabourin
![Responsive image](/icpr/media/video_thumbnails/11138.jpg)
Auto-TLDR; Diversity-Based Pool Generation with Dynamic Classifier Selection and Dynamic Ensemble Selection
Abstract Slides Poster Similar
How to Define a Rejection Class Based on Model Learning?
Sarah Laroui, Xavier Descombes, Aurelia Vernay, Florent Villiers, Francois Villalba, Eric Debreuve
![Responsive image](/icpr/media/video_thumbnails/10904.jpg)
Auto-TLDR; An innovative learning strategy for supervised classification that is able, by design, to reject a sample as not belonging to any of the known classes
Abstract Slides Poster Similar
One Step Clustering Based on A-Contrario Framework for Detection of Alterations in Historical Violins
Alireza Rezaei, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi
![Responsive image](/icpr/media/video_thumbnails/12009.jpg)
Auto-TLDR; A-Contrario Clustering for the Detection of Altered Violins using UVIFL Images
Abstract Slides Poster Similar
A Novel Random Forest Dissimilarity Measure for Multi-View Learning
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
![Responsive image](/icpr/media/video_thumbnails/11002.jpg)
Auto-TLDR; Multi-view Learning with Random Forest Relation Measure and Instance Hardness
Abstract Slides Poster Similar
An Adaptive Video-To-Video Face Identification System Based on Self-Training
Eric Lopez-Lopez, Carlos V. Regueiro, Xosé M. Pardo
![Responsive image](/icpr/media/video_thumbnails/11161.jpg)
Auto-TLDR; Adaptive Video-to-Video Face Recognition using Dynamic Ensembles of SVM's
Abstract Slides Poster Similar
Force Banner for the Recognition of Spatial Relations
Robin Deléarde, Camille Kurtz, Laurent Wendling, Philippe Dejean
![Responsive image](/icpr/media/video_thumbnails/11600.jpg)
Auto-TLDR; Spatial Relation Recognition using Force Banners
Rethinking Experience Replay: A Bag of Tricks for Continual Learning
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
![Responsive image](/icpr/media/video_thumbnails/11110.jpg)
Auto-TLDR; Experience Replay for Continual Learning: A Practical Approach
Abstract Slides Poster Similar
3CS Algorithm for Efficient Gaussian Process Model Retrieval
Fabian Berns, Kjeld Schmidt, Ingolf Bracht, Christian Beecks
![Responsive image](/icpr/media/video_thumbnails/11058.jpg)
Auto-TLDR; Efficient retrieval of Gaussian Process Models for large-scale data using divide-&-conquer-based approach
Abstract Slides Poster Similar
Temporal Pattern Detection in Time-Varying Graphical Models
Federico Tomasi, Veronica Tozzo, Annalisa Barla
![Responsive image](/icpr/media/video_thumbnails/11399.jpg)
Auto-TLDR; A dynamical network inference model that leverages on kernels to consider general temporal patterns
Abstract Slides Poster Similar
Personalized Models in Human Activity Recognition Using Deep Learning
Hamza Amrani, Daniela Micucci, Paolo Napoletano
![Responsive image](/icpr/media/video_thumbnails/12053.jpg)
Auto-TLDR; Incremental Learning for Personalized Human Activity Recognition
Abstract Slides Poster Similar
On Learning Random Forests for Random Forest Clustering
Manuele Bicego, Francisco Escolano
![Responsive image](/icpr/media/video_thumbnails/11268.jpg)
Auto-TLDR; Learning Random Forests for Clustering
Abstract Slides Poster Similar
An Invariance-Guided Stability Criterion for Time Series Clustering Validation
Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
![Responsive image](/icpr/media/video_thumbnails/12003.jpg)
Auto-TLDR; An invariance-guided method for clustering model selection in time series data
Abstract Slides Poster Similar
Class-Incremental Learning with Topological Schemas of Memory Spaces
Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong
![Responsive image](/icpr/media/video_thumbnails/12058.jpg)
Auto-TLDR; Class-incremental Learning with Topological Schematic Model
Abstract Slides Poster Similar
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu
![Responsive image](/icpr/media/video_thumbnails/12176.jpg)
Auto-TLDR; Synthetic Minority OverSampling Technique for Imbalanced Data
Abstract Slides Poster Similar
ARCADe: A Rapid Continual Anomaly Detector
Ahmed Frikha, Denis Krompass, Volker Tresp
![Responsive image](/icpr/media/video_thumbnails/12150.jpg)
Auto-TLDR; ARCADe: A Meta-Learning Approach for Continuous Anomaly Detection
Abstract Slides Poster Similar
Mean Decision Rules Method with Smart Sampling for Fast Large-Scale Binary SVM Classification
Alexandra Makarova, Mikhail Kurbakov, Valentina Sulimova
![Responsive image](/icpr/media/video_thumbnails/11871.jpg)
Auto-TLDR; Improving Mean Decision Rule for Large-Scale Binary SVM Problems
Abstract Slides Poster Similar
PIF: Anomaly detection via preference embedding
Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
![Responsive image](/icpr/media/video_thumbnails/11854.jpg)
Auto-TLDR; PIF: Anomaly Detection with Preference Embedding for Structured Patterns
Abstract Slides Poster Similar
Bayesian Active Learning for Maximal Information Gain on Model Parameters
Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog
![Responsive image](/icpr/media/video_thumbnails/12160.jpg)
Auto-TLDR; Bayesian assumptions for Bayesian classification
Abstract Slides Poster Similar
Proximity Isolation Forests
Antonella Mensi, Manuele Bicego, David Tax
![Responsive image](/icpr/media/video_thumbnails/11847.jpg)
Auto-TLDR; Proximity Isolation Forests for Non-vectorial Data
Abstract Slides Poster Similar
The eXPose Approach to Crosslier Detection
Antonio Barata, Frank Takes, Hendrik Van Den Herik, Cor Veenman
![Responsive image](/icpr/media/video_thumbnails/11125.jpg)
Auto-TLDR; EXPose: Crosslier Detection Based on Supervised Category Modeling
Abstract Slides Poster Similar
Leveraging Sequential Pattern Information for Active Learning from Sequential Data
Raul Fidalgo-Merino, Lorenzo Gabrielli, Enrico Checchi
![Responsive image](/icpr/media/video_thumbnails/11713.jpg)
Auto-TLDR; Sequential Pattern Information for Active Learning
Abstract Slides Poster Similar
Incrementally Zero-Shot Detection by an Extreme Value Analyzer
Sixiao Zheng, Yanwei Fu, Yanxi Hou
![Responsive image](/icpr/media/video_thumbnails/11965.jpg)
Auto-TLDR; IZSD-EVer: Incremental Zero-Shot Detection for Incremental Learning
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
Aliaksei Mikhailiuk, Clifford Wilmot, Maria Perez-Ortiz, Dingcheng Yue, Rafal Mantiuk
![Responsive image](/icpr/media/video_thumbnails/11157.jpg)
Auto-TLDR; ASAP: An Active Sampling Algorithm for Pairwise Comparison Data
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
![Responsive image](/icpr/media/video_thumbnails/11678.jpg)
Auto-TLDR; Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Abstract Slides Poster Similar
Expectation-Maximization for Scheduling Problems in Satellite Communication
Werner Bailer, Martin Winter, Johannes Ebert, Joel Flavio, Karin Plimon
![Responsive image](/icpr/media/video_thumbnails/11269.jpg)
Auto-TLDR; Unsupervised Machine Learning for Satellite Communication Using Expectation-Maximization
Abstract Slides Poster Similar
Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology Using Vibrational Spectroscopy Imaging
Marina Paolanti, Emanuele Frontoni, Giorgia Gioacchini, Giorgini Elisabetta, Notarstefano Valentina, Zacà Carlotta, Carnevali Oliana, Andrea Borini, Marco Mameli
![Responsive image](/icpr/media/video_thumbnails/10855.jpg)
Auto-TLDR; Predicting Oocyte Quality in Assisted Reproductive Technology Using Machine Learning Techniques
Abstract Slides Poster Similar
Multi-Attribute Learning with Highly Imbalanced Data
Lady Viviana Beltran Beltran, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
![Responsive image](/icpr/media/video_thumbnails/11993.jpg)
Auto-TLDR; Data Imbalance in Multi-Attribute Deep Learning Models: Adaptation to face each one of the problems derived from imbalance
Abstract Slides Poster Similar
Aggregating Dependent Gaussian Experts in Local Approximation
![Responsive image](/icpr/media/video_thumbnails/11968.jpg)
Auto-TLDR; A novel approach for aggregating the Gaussian experts by detecting strong violations of conditional independence
Abstract Slides Poster Similar
Automatically Mining Relevant Variable Interactions Via Sparse Bayesian Learning
Ryoichiro Yafune, Daisuke Sakuma, Yasuo Tabei, Noritaka Saito, Hiroto Saigo
![Responsive image](/icpr/media/video_thumbnails/12047.jpg)
Auto-TLDR; Sparse Bayes for Interpretable Non-linear Prediction
Abstract Slides Poster Similar
Sketch-Based Community Detection Via Representative Node Sampling
Mahlagha Sedghi, Andre Beckus, George Atia
![Responsive image](/icpr/media/video_thumbnails/12075.jpg)
Auto-TLDR; Sketch-based Clustering of Community Detection Using a Small Sketch
Abstract Slides Poster Similar
Detecting and Adapting to Crisis Pattern with Context Based Deep Reinforcement Learning
Eric Benhamou, David Saltiel Saltiel, Jean-Jacques Ohana Ohana, Jamal Atif Atif
![Responsive image](/icpr/media/video_thumbnails/12100.jpg)
Auto-TLDR; Deep Reinforcement Learning for Financial Crisis Detection and Dis-Investment
Abstract Slides Poster Similar
Unsupervised Moving Object Detection through Background Models for PTZ Camera
Kimin Yun, Hyung-Il Kim, Kangmin Bae, Jongyoul Park
![Responsive image](/icpr/media/video_thumbnails/11237.jpg)
Auto-TLDR; Unsupervised Moving Object Detection in a PTZ Camera through Two Background Models
Abstract Slides Poster Similar
Verifying the Causes of Adversarial Examples
Honglin Li, Yifei Fan, Frieder Ganz, Tony Yezzi, Payam Barnaghi
![Responsive image](/icpr/media/video_thumbnails/11687.jpg)
Auto-TLDR; Exploring the Causes of Adversarial Examples in Neural Networks
Abstract Slides Poster Similar
Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video
Konstantin Bulatov, Nadezhda Fedotova, Vladimir V. Arlazarov
![Responsive image](/icpr/media/video_thumbnails/10859.jpg)
Auto-TLDR; Stopping Video Stream Recognition of a Text Field Using Optimized Computation Scheme
Abstract Slides Poster Similar
Generic Document Image Dewarping by Probabilistic Discretization of Vanishing Points
Gilles Simon, Salvatore Tabbone
![Responsive image](/icpr/media/video_thumbnails/11129.jpg)
Auto-TLDR; Robust Document Dewarping using vanishing points
Abstract Slides Poster Similar
PowerHC: Non Linear Normalization of Distances for Advanced Nearest Neighbor Classification
Manuele Bicego, Mauricio Orozco-Alzate
![Responsive image](/icpr/media/video_thumbnails/10984.jpg)
Auto-TLDR; Non linear scaling of distances for advanced nearest neighbor classification
Abstract Slides Poster Similar
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes
Maximilian Söchting, Stefano Allegretti, Federico Bolelli, Costantino Grana
![Responsive image](/icpr/media/video_thumbnails/11813.jpg)
Auto-TLDR; Entropy Partitioning Decision Tree for Connected Components Labeling
Abstract Slides Poster Similar
Learning Dictionaries of Kinematic Primitives for Action Classification
Alessia Vignolo, Nicoletta Noceti, Alessandra Sciutti, Francesca Odone, Giulio Sandini
![Responsive image](/icpr/media/video_thumbnails/11587.jpg)
Auto-TLDR; Action Understanding using Visual Motion Primitives
Abstract Slides Poster Similar
Boundary Bagging to Address Training Data Issues in Ensemble Classification
![Responsive image](/icpr/media/video_thumbnails/12091.jpg)
Auto-TLDR; Bagging Ensemble Learning for Multi-Class Imbalanced Classification
Killing Four Birds with One Gaussian Process: The Relation between Different Test-Time Attacks
Kathrin Grosse, Michael Thomas Smith, Michael Backes
![Responsive image](/icpr/media/video_thumbnails/11427.jpg)
Auto-TLDR; Security of Gaussian Process Classifiers against Attack Algorithms
Abstract Slides Poster Similar
Multi-annotator Probabilistic Active Learning
Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick
![Responsive image](/icpr/media/video_thumbnails/12129.jpg)
Auto-TLDR; MaPAL: Multi-annotator Probabilistic Active Learning
Abstract Slides Poster Similar