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06/02/2023
On Feature Diversity in Energy-based Models
Energy-based learning is a powerful learning paradigm that encapsulates ...
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01/03/2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Neural networks are composed of multiple layers arranged in a hierarchic...
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11/10/2022
Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey
X-ray imaging technology has been used for decades in clinical tasks to ...
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09/26/2022
Habitat classification from satellite observations with sparse annotations
Remote sensing benefits habitat conservation by making monitoring of lar...
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09/22/2022
Efficient CNN with uncorrelated Bag of Features pooling
Despite the superior performance of CNN, deploying them on low computati...
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08/29/2022
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions
Affective computing has garnered researchers' attention and interest in ...
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05/01/2022
Generalized Reference Kernel for One-class Classification
In this paper, we formulate a new generalized reference kernel hoping to...
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04/05/2022
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives
Applying machine learning tools to digitized image archives has a potent...
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02/09/2022
Non-Linear Spectral Dimensionality Reduction Under Uncertainty
In this paper, we consider the problem of non-linear dimensionality redu...
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02/09/2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Autoencoders are a type of unsupervised neural networks, which can be us...
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11/10/2021
Learning to ignore: rethinking attention in CNNs
Recently, there has been an increasing interest in applying attention me...
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06/16/2021
Automatic Main Character Recognition for Photographic Studies
Main characters in images are the most important humans that catch the v...
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06/10/2021
Within-layer Diversity Reduces Generalization Gap
Neural networks are composed of multiple layers arranged in a hierarchic...
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04/29/2021
Graph-Embedded Subspace Support Vector Data Description
In this paper, we propose a novel subspace learning framework for one-cl...
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04/12/2021
Multi-level reversible encryption for ECG signals using compressive sensing
Privacy concerns in healthcare have gained interest recently via GDPR, w...
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03/11/2021
Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm
The COVID-19 virus has caused a global pandemic since March 2020. The Wo...
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02/09/2021
Ensembling object detectors for image and video data analysis
In this paper, we propose a method for ensembling the outputs of multipl...
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11/23/2020
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
Automatic classification of speech commands has revolutionized human com...
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09/01/2020
Graph Embedding with Data Uncertainty
spectral-based subspace learning is a common data preprocessing step in ...
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08/28/2020
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
Autonomous or teleoperated robots have been playing increasingly importa...
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07/20/2020
Monte Carlo Dropout Ensembles for Robust Illumination Estimation
Computational color constancy is a preprocessing step used in many camer...
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05/07/2020
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing
Rescue vessels are the main actors in maritime safety and rescue operati...
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05/06/2020
Probabilistic Color Constancy
In this paper, we propose a novel unsupervised color constancy method, c...
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04/08/2020
Saliency-based Weighted Multi-label Linear Discriminant Analysis
In this paper, we propose a new variant of Linear Discriminant Analysis ...
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03/25/2020
Not all domains are equally complex: Adaptive Multi-Domain Learning
Deep learning approaches are highly specialized and require training sep...
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03/20/2020
Ellipsoidal Subspace Support Vector Data Description
In this paper, we propose a novel method for transforming data into a lo...
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02/11/2020
Incremental Fast Subclass Discriminant Analysis
This paper proposes an incremental solution to Fast Subclass Discriminan...
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02/05/2020
Automatic image-based identification and biomass estimation of invertebrates
Understanding how biological communities respond to environmental change...
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10/23/2019
INTEL-TAU: A Color Constancy Dataset
In this paper, we describe a new large dataset for illumination estimati...
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08/19/2019
Architecture Search by Estimation of Network Structure Distributions
The influence of deep learning is continuously expanding across differen...
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08/13/2019
Null Space Analysis for Class-Specific Discriminant Learning
In this paper, we carry out null space analysis for Class-Specific Discr...
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06/20/2019
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing
Security monitoring via ubiquitous cameras and their more extended in in...
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06/11/2019
Bag of Color Features For Color Constancy
In this paper, we propose a novel color constancy approach, called Bag o...
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06/04/2019
Color Constancy Convolutional Autoencoder
In this paper, we study the importance of pre-training for the generaliz...
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05/02/2019
Speed-up and multi-view extensions to Subclass Discriminant Analysis
In this paper, we propose a speed-up approach for subclass discriminant ...
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04/22/2019
Machine Learning Based Analysis of Finnish World War II Photographers
In this paper, we demonstrate the benefits of using state-of-the-art mac...
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04/16/2019
Multimodal Subspace Support Vector Data Description
In this paper, we propose a novel method for projecting data from multip...
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02/12/2018
Subspace Support Vector Data Description
This paper proposes a novel method for solving one-class classification ...
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08/23/2017