TH1.SC1.2
Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers
Clémence Prévost, University of Lille, France; Valentin Leplat, Skoltech, Russia
Session:
TH1.SC1: Advances in Tensor Theory and Their Applications Lecture
Track:
Special Sessions
Location:
Saint Clair 1
Presentation Time:
Thu, 29 Aug, 10:50 - 11:10 France Time (UTC +1)
Session Co-Chairs:
Rima Khouja, Huawei Paris Research Center and Neriman Tokcan, University of Massachusetts Boston
Presentation
Discussion
Resources
No resources available.
Session TH1.SC1
TH1.SC1.1: HYBRID NETWORK COMPRESSION THROUGH TENSOR DECOMPOSITIONS AND PRUNING
Van Tien Pham, Yassine Zniyed, Thanh Phuong Nguyen, Université de Toulon, Aix Marseille Université, CNRS, LIS, UMR 7020, France
TH1.SC1.2: Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers
Clémence Prévost, University of Lille, France; Valentin Leplat, Skoltech, Russia
TH1.SC1.3: THE PSEUDO JOINT EIGENVALUE DECOMPOSITION: DEFINITION, PROPERTIES AND APPLICATION TO THE CANONICAL POLYADIC DECOMPOSITION
Xavier Luciani, Laboratoire d’Informatique et Systèmes Université de Toulon, Aix Marseille Univ, CNRS, France; Rémi André, Aix Marseille Univ, CNRS, Centrale Med, Institut Fresnel, France
TH1.SC1.4: TENSOR TRAIN COMPLETION OF MULTI-WAY DATA OBSERVED ALONG ONE MODE
Shakir Showkat Sofi, Stijn Hendrikx, Lieven De Lathauwer, KU Leuven, Belgium
TH1.SC1.5: Enhancing Corner Detection: Leveraging 3x3 Structure Tensor Combined with Hourglass Filter
Baptiste Magnier, Guillaume Demoor, IMT Mines Ales, France
TH1.SC1.6: Massive Unsourced Random Access with Tensor-Based Modulation and Multi-Antenna Receiver over Frequency-Selective Channels
Sofiane Kharbech, Alexis Decurninge, Huawei Technologies France, France