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Deep Learning for Classification of Hyperspectral Data: A Comparative Review
In recent years, deep learning techniques revolutionized the way remote ...
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Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
In this work, we investigate various methods to deal with semantic label...
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Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
In this work, we present a novel module to perform fusion of heterogeneo...
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Generating Visual Representations for Zero-Shot Classification
This paper addresses the task of learning an image clas-sifier when some...
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Adaptive imputation of missing values for incomplete pattern classification
In classification of incomplete pattern, the missing values can either p...
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Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Parameter tuning is recognized today as a crucial ingredient when tackli...
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Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Most real-world Planning problems are multi-objective, trying to minimiz...
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Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
All standard AI planners to-date can only handle a single objective, and...
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A two-step fusion process for multi-criteria decision applied to natural hazards in mountains
Mountain river torrents and snow avalanches generate human and material ...
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General combination rules for qualitative and quantitative beliefs
Martin and Osswald Martin07 have recently proposed many generalizations ...
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Sparse and Low-Rank Decomposition for Automatic Target Detection in Hyperspectral Imagery
Given a target prior information, our goal is to propose a method for au...
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Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
At the initial design stage engineers often rely on low-fidelity models ...
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Bayesian Optimization using Deep Gaussian Processes
Bayesian Optimization using Gaussian Processes is a popular approach to ...
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Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle
In this paper we address the problem of dot painting on a wall by a quad...
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Hyperspectral pansharpening: a review
Pansharpening aims at fusing a panchromatic image with a multispectral o...
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Fixed Points of the Set-Based Bellman Operator
Motivated by uncertain parameters encountered in Markov decision process...
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Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games
Motivated by uncertain parameters encountered in Markov decision process...
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Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method
In this paper, we present an extension to an air traffic conflicts resol...
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ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
Summarizing video content is an important task in many applications. Thi...
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Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
Transferring learning-based models to the real world remains one of the ...
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Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods
Several nonlinear model reduction techniques are compared for the three ...
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Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus
Time-Sensitive Networking (TSN) is a set of amendments that extend Ether...
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An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
The multi-level, multi-disciplinary and multi-fidelity optimization fram...
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STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
We present a new lightweight CNN-based algorithm for multi-frame optical...
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OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
Many applications of Visual SLAM, such as augmented reality, virtual rea...
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