Sökning: "vector clustering"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden vector clustering.

1. 1. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

   Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Jaysmita Khanindra Chaliha; [2023]
   Nyckelord :;

   Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

3. 2. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

   Författare :David Yu; [2023]
   Nyckelord :Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

   Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER

4. 3. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Luigi Assom; [2023]
   Nyckelord :animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

   Sammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. LÄS MER

5. 4. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Björn Elwin; Anton Fredriksson; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

7. 5. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

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

   Författare :Sanskar Gupta; [2022]
   Nyckelord :Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

   Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER