On some associations between mathematical morphology and artificial intelligence
DOI10.1007/978-3-030-76657-3_33zbMath1484.68176OpenAlexW3160553025WikidataQ112678605 ScholiaQ112678605MaRDI QIDQ2061838
Samy Blusseau, Isabelle Bloch, Élodie Puybareau, Ramón Pino Pérez, Guillaume Tochon
Publication date: 21 December 2021
Full work available at URL: https://doi.org/10.1007/978-3-030-76657-3_33
latticefuzzy setsneural networkslogicsartificial intelligencespatial reasoningmathematical morphologydeep learning
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Logic in artificial intelligence (68T27) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Machine vision and scene understanding (68T45) General topics in artificial intelligence (68T01)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Logic based merging
- Morphological perceptrons with competitive learning: lattice-theoretical framework and constructive learning algorithm
- Preferences and explanations
- Duality vs. adjunction for fuzzy mathematical morphology and general form of fuzzy erosions and dilations
- Fuzzy sets and systems. Theory and applications
- Propositional knowledge base revision and minimal change
- The concept of a linguistic variable and its application to approximate reasoning. I
- Jumping to explanations versus jumping to conclusions
- Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction
- Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics
- Image restoration by learning morphological opening-closing network
- Going beyond p-convolutions to learn grayscale morphological operators
- Extreme learning machine for a new hybrid morphological/linear perceptron
- Max-plus operators applied to filter selection and model pruning in neural networks
- Implementing semantic merging operators using binary decision diagrams
- Fuzzy sets for image processing and understanding
- Modal Logics Based on Mathematical Morphology for Qualitative Spatial Reasoning
- On the logic of theory change: Partial meet contraction and revision functions
- A Learning Framework for Morphological Operators Using Counter–Harmonic Mean
- Logical dual concepts based on mathematical morphology in stratified institutions: applications to spatial reasoning
- Morphological Perceptrons: Geometry and Training Algorithms
- Topological Relations Between Bipolar Fuzzy Sets Based on Mathematical Morphology
- Merging First-Order Knowledge Using Dilation Operators