SiG-DML-P2.5
GENERALIZED REFERENCE KERNEL WITH NEGATIVE SAMPLES FOR SUPPORT VECTOR ONE-CLASS CLASSIFICATION
Jenni Raitoharju, University of Jyväskylä, Finland
Session:
SiG-DML-P2: Bounds, Optimization & Sparsity Poster
Track:
SiG-DML - Signal and Data Analytics for Machine Learning
Location:
Poster Area C
Presentation Time:
Wed, 10 Sep, 09:00 - 10:40 Italy Time (UTC +2)
Session Chair:
Grace Villacrés, Universidad Rey Juan Carlos
Presentation
Discussion
Resources
No resources available.
Session SiG-DML-P2
SiG-DML-P2.1: ECHOMOTION: ENHANCING EXERCISE ANALYSIS WITH ACOUSTIC SENSING
Mohammed Mosuily, Jagmohan Chauhan, University of Southampton, United Kingdom
SiG-DML-P2.2: SPATIO-TEMPORAL REFINEMENT FOR INSAR PHASE UNWRAPPING USING UNTRAINED NEURAL NETWORKS
Idi Boubacar Sani, INSA Rennes, Gaston Berger University, France; Xiaoran Jiang, INSA Rennes, France; Seynabou Toure, Gaston Berger University, Senegal; Kidiyo Kpalma, INSA Rennes, France; Oumar Diop, Amadou-Seidou Maiga, Gaston Berger University, Senegal
SiG-DML-P2.3: LEARNING SPATIALLY ADAPTIVE L1-NORMS WEIGHTS FOR CONVOLUTIONAL SYNTHESIS REGULARIZATION
Andreas Kofler, Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, Germany; Luca Calatroni, Università di Genova, Italy; Christoph Kolbitsch, Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, Italy; Kostas Papafitsoros, Queen Mary University of London, Italy
SiG-DML-P2.4: Extension of Intersection over Union to Improve Small Object Detection in Few-Shot Regime
Pierre Le jeune, COSE, France; Anissa MOKRAOUI, L2TI Laboratory, France
SiG-DML-P2.5: GENERALIZED REFERENCE KERNEL WITH NEGATIVE SAMPLES FOR SUPPORT VECTOR ONE-CLASS CLASSIFICATION
Jenni Raitoharju, University of Jyväskylä, Finland
SiG-DML-P2.6: SPIKE DETECTION WITH CONTINUOUS WAVELET TRANSFORM BASED MODEL DRIVEN MACHINE LEARNING METHODS
Attila Miklós Ámon, Eötvös Loránd University, Hungary; Bram Cornelis, Siemens Industry Software NV, Belgium; Péter Kovács, Eötvös Loránd University, Hungary; Tamás Dózsa, Institute for Computer Science and Control, Hungary
SiG-DML-P2.7: SPARSE HYBRID LINEAR-MORPHOLOGICAL NETWORKS
Konstantinos Fotopoulos, Athena Research Center, Greece; Christos Garoufis, Petros Maragos, National Technical University of Athens, Greece
SiG-DML-P2.8: BIORTHOGONAL TUNABLE WAVELET UNIT WITH LIFTING SCHEME IN CONVOLUTIONAL NEURAL NETWORK
An Le, Hung Nguyen, University of California San Diego, United States; Sungbal Seo, You-Suk Bae, Tech University of Korea, Korea (South); Truong Nguyen, University of California San Diego, United States
SiG-DML-P2.9: SCORING FUNCTIONS TO EVALUATE THE RANKINGS METHODS FOR VARIABLE SELECTION
Marius Marinescu, Grace Villacrés, Universidad Rey Juan Carlos, Spain; Luca Martino, Università di Catania, Italy; Óscar Barquero, Universidad Rey Juan Carlos, Spain