Essays about: "separability"

Showing result 1 - 5 of 16 essays containing the word separability.

  1. 1. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

    University essay from Uppsala universitet/Industriell teknik

    Author : Mohammad Al-Jaff; [2023]
    Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

    Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE

  2. 2. Usability of Sentinel-1 C-band VV and VH SAR data for the detection of flooded oil palm

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Sarah Lee Sienaert; [2023]
    Keywords : Geography; GIS; Sentinel-1; SAR; C-band; VV; VH; Oil Palm; Flood; Earth and Environmental Sciences;

    Abstract : Flooding in oil palm plantations in Southeast Asia is a common problem. The oil palm’s habitable range is restricted to lowland equatorial areas, and the high rainfall and degraded landscapes associated with oil palm cultivation leaves oil palm prone to flooding. READ MORE

  3. 3. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications

    University essay from KTH/Numerisk analys, NA

    Author : Martin Jacobson; [2021]
    Keywords : Fraud; Fraud Detection; Imbalanced Learning; Feature Extraction; Extreme Learning Machines; ELM; Machine Learning; ML; Bedrägeri;

    Abstract : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. READ MORE

  4. 4. UAV based hyperspectral grassland monitoring in an alpine shallow erosion area : lessons learnt from classifying vegetation indicating shallow erosion risk

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : John Peitz; [2019]
    Keywords : Physical Geography; Ecosystem Analysis; Shallow Erosion; Blaiken; UAV; Hyperspectral Imaging; Alps; Grassland; Spectral Signatures; Geomatics; Earth and Environmental Sciences;

    Abstract : UAV based hyperspectral grassland monitoring in an alpine shallow erosion area Recent research in the Alps found that a reduction in grassland management is correlated to an increase in a certain type of shallow erosion areas called blaiken. This change also entails changes to the dominant grassland vegetation. READ MORE

  5. 5. Novel Cluster-Based SVM to reduce classification error in noisy EEG data: towards real-time brain-robot interfaces

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Martin Johansson; [2018]
    Keywords : ;

    Abstract : To be able to control a robotic platform using signals form the human brain is something that has been considered science fiction for a long time. With the technology available today however, it has more or less become a reality. Electroencephalography or EEG for short is a widely used method for extracting signals form the brain. READ MORE