Filtrer vos résultats
- 38
- 18
- 30
- 19
- 5
- 2
- 39
- 21
- 20
- 3
- 2
- 1
- 3
- 4
- 6
- 5
- 8
- 6
- 2
- 5
- 2
- 3
- 6
- 2
- 4
- 55
- 1
- 46
- 20
- 17
- 16
- 7
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 56
- 14
- 13
- 10
- 9
- 9
- 8
- 7
- 5
- 5
- 5
- 5
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
56 résultats
|
|
|
triés par
|
|
|
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic RegressionComputational Optimization and Applications, 2019, 72 (3), pp.707-726. ⟨10.1007/s10589-019-00060-6⟩
Article dans une revue
hal-01672507v1
|
||
|
|
Domain-Aware Augmentations for Unsupervised Online General Continual LearningThe 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom. ⟨10.48550/arXiv.2309.06896⟩
Communication dans un congrès
hal-04425453v1
|
||
|
|
SAR image despeckling through convolutional neural networksIEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, Texas, United States
Communication dans un congrès
hal-01710036v1
|
||
|
|
Deep learning‐enabled imaging flow cytometry for high‐speed Cryptosporidium and Giardia detectionCytometry Part A, 2021, ⟨10.1002/cyto.a.24321⟩
Article dans une revue
hal-03161362v1
|
||
|
|
Multilayer Network Data Clustering2019
Pré-publication, Document de travail
hal-02150018v1
|
||
|
|
DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion frameworkInria Saclay. 2022
Rapport
hal-03897934v1
|
||
Parallel Implementations of a Disparity Estimation Algorithm based on a Proximal Splitting MethodVisual Communications and Image Processing, Nov 2012, San Diego, United States. ⟨10.1109/VCIP.2012.6410734⟩
Communication dans un congrès
hal-02288347v1
|
|||
|
|
Deep Convolutional Transform LearningICONIP 2020 - 27th International Conference on Neural Information Processing, Nov 2020, Bangkok, Thailand
Communication dans un congrès
hal-02943652v1
|
||
|
|
Supervised Learning of Hierarchical Image Segmentation26th Iberoamerican Congress on Pattern Recognition (CIARP), Instituto Superior de Educação e Ciências (ISEC), Nov 2023, Coimbra (Portugal), Portugal. pp.201-213, ⟨10.1007/978-3-031-49018-7_15⟩
Communication dans un congrès
hal-04205711v2
|
||
|
|
Higra: Hierarchical Graph AnalysisSoftwareX, 2019, 10, pp.100335. ⟨10.1016/j.softx.2019.100335⟩
Article dans une revue
hal-02309938v1
|
||
|
|
Ultrametric fitting by gradient descentJournal of Statistical Mechanics: Theory and Experiment, 2020, 2020 (12), pp.124004. ⟨10.1088/1742-5468/abc62d⟩
Article dans une revue
hal-03113554v1
|
||
Yapa: Accelerated Proximal Algorithm for Convex Composite ProblemsICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, France. pp.5534-5538, ⟨10.1109/ICASSP39728.2021.9414656⟩
Communication dans un congrès
hal-03676597v1
|
|||
PRNU-based Forgery Detection with Regularity Constraints and Global OptimizationIEEE International Workshop on Multimedia Signal Processing, Sep 2013, Pula, Italy. ⟨10.1109/MMSP.2013.6659294⟩
Communication dans un congrès
hal-02286715v1
|
|||
|
|
Wasserstein-Based Graph AlignmentIEEE Transactions on Signal and Information Processing over Networks, 2022, 8, pp.353-363. ⟨10.1109/TSIPN.2022.3169632⟩
Article dans une revue
hal-03676591v1
|
||
|
|
Deeply Transformed Subspace ClusteringSignal Processing, 2020, 174, pp.107628. ⟨10.1016/j.sigpro.2020.107628⟩
Article dans une revue
hal-03066160v1
|
||
|
|
A proximal approach for constrained cosparse modellingAcoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, Mar 2012, Kyoto, Japan. pp.3433 - 3436, ⟨10.1109/ICASSP.2012.6288654⟩
Communication dans un congrès
hal-00826002v1
|
||
|
|
Epigraphical proximal projection for sparse multiclass SVMIEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6855222⟩
Communication dans un congrès
hal-01796717v1
|
||
|
|
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual LearningThe 38th Annual AAAI Conference on Artificial Intelligence, Feb 2024, Vancouver, Canada. ⟨10.48550/arXiv.2306.03364⟩
Communication dans un congrès
hal-04425481v1
|
||
|
|
DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework2020
Pré-publication, Document de travail
hal-02461768v1
|
||
|
|
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image ClassificationICIP 2022 - 29th IEEE International Conference on Image Processing, Oct 2022, Bordeaux, France
Communication dans un congrès
hal-03723462v1
|
||
|
|
DeConDFFuse: Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion frameworkExpert Systems with Applications, 2023, 227, pp.120238:1-22. ⟨10.1016/j.eswa.2023.120238⟩
Article dans une revue
hal-04089994v1
|
||
|
|
Convex optimization for frame-level rate allocation in MV-HEVC2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. ⟨10.1109/ICIP.2016.7532740⟩
Communication dans un congrès
hal-01718476v1
|
||
|
|
Convolutional Transform learningICONIP 2018 - 25th International Conference on Neural Information Processing, Dec 2018, Siem Reap, Cambodia. pp.162-174
Communication dans un congrès
hal-01862201v1
|
||
|
|
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading SystemsExpert Systems with Applications, 2021, 169, pp.114206. ⟨10.1016/j.eswa.2020.114206⟩
Article dans une revue
hal-03066187v1
|
||
A Bayesian-MRF Approach for PRNU-Based Image Forgery DetectionIEEE Transactions on Information Forensics and Security, 2014, 9 (4), pp.554 - 567. ⟨10.1109/TIFS.2014.2302078⟩
Article dans une revue
hal-01802784v1
|
|||
An Epigraphic Splitting Technique for Sparse Multiclass SVMSignal Processing with Adaptive Sparse Structured Representations (SPARS), Jul 2015, Cambridge, United Kingdom
Communication dans un congrès
hal-02287028v1
|
|||
Non-local smoothness constraints for disparity estimation in a variational frameworkEuropean Signal Processing Conference, Aug 2012, Bucharest, Romania. pp.1144-1148
Communication dans un congrès
hal-02286473v1
|
|||
|
|
CGO: Multiband Astronomical Source Detection With Component-GraphsICIP 2020 - IEEE International Conference on Image Processing, Oct 2020, Abu Dhabi, United Arab Emirates. pp.16-20, ⟨10.1109/ICIP40778.2020.9191276⟩
Communication dans un congrès
hal-03132048v1
|
||
|
|
A convex-optimization framework for frame-level optimal rate allocation in predictive video codingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6855023⟩
Communication dans un congrès
hal-01202774v1
|
||
|
|
GOT: An Optimal Transport framework for Graph comparisonAdvances in Neural Information Processing Systems 32, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02150008v1
|
- 1
- 2