Sökning: "Siamesiska neurala nätverk"

Hittade 4 uppsatser innehållade orden Siamesiska neurala nätverk.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

3. 2. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Viktor Karlstrand; [2022]
   Nyckelord :Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

   Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER

4. 3. DETECTION OF RELAPSING VOCAL CORD CANCER USING SIAMESE NEURAL NETWORKS

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Viktor Stenvall; [2021]
   Nyckelord :Siamese Neural Networks; Vocal cord cancer detection; triplet loss; Mathematics and Statistics;

   Sammanfattning : In this thesis, we investigate the possibility of using Siamese Neural Networks to detect voice changes in the voices of patients su↵ering from a recurrence of their vocal cord cancer. In collaboration with VoiceDiagnostic Sweden AB and physicians at Lunds’s University Hospital, models were trained on audio features in order to learn distance measures between recordings, and segments of recordings. LÄS MER

5. 4. Mobile Device Gaze Estimation with Deep Learning : Using Siamese Neural Networks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Julien Adler; [2019]
   Nyckelord :Siamese Neural Network; GazeCapture; Gaze Estimation; Mobile; Unconstrained; Calibration Points;

   Sammanfattning : Gaze tracking has already shown to be a popular technology for desktop devices. When it comes to gaze tracking for mobile devices, however, there is still a lot of progress to be made. There’s still no high accuracy gaze tracking available that works in an unconstrained setting for mobile devices. LÄS MER