Sökning: "similarity metric"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden similarity metric.

1. 1. Similarity metric for crowd trajectory evaluation on a per-agent basis : An approach based on the sum of absolute differences

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

   Författare :Karl Brunnberg; [2023]
   Nyckelord :Crowd Simulation; Trajectory; Similarity Metric; Virtual Agents; Crowd Perception; Folkmassasimulering; Färdväg; Likhetsmetrik; Virtuella Agenter; Folkmassaperception;

   Sammanfattning : Simulation models that replicate realistic crowd behaviours and dynamics are of great societal use in a variety of fields of research and entertainment. In order to evaluate the accuracy of such models there is a demand for metrics and evaluation solutions that measure how well they simulate the dynamics of real crowds. LÄS MER

3. 2. Evaluating clustering techniques in financial time series

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Johan Millberg; [2023]
   Nyckelord :clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

   Sammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER

4. 3. Using Approximate Computing Circuits to Optimize Power of an ASIC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Padmashree Nuggehalli Srinivasa; Shi-Tien Hsing; [2023]
   Nyckelord :ASIC; Power; Optimization; Approximate Arithmetic Circuits; Approximate Computing; Technology; Technology and Engineering;

   Sammanfattning : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. LÄS MER

5. 4. Digital Twin Knowledge Graphs for IoT Platforms : Towards a Virtual Model for Real-Time Knowledge Representation in IoT Platforms

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

   Författare :Alejandro Jarabo Peñas; [2023]
   Nyckelord :Internet of Things; Digital Twin; Knowledge Graph; Similarity Metric; Semantic Data Integration; Internet of Things; Digital Twin; Kunskapsgraf; Likhetmetrik; Integrering av Semantiska Data; Internet of Things; Gemelo Digital; Grafo de Conocimiento; Métrica de Similitud; Integración de Datos Semánticos.;

   Sammanfattning : This thesis presents the design and prototype implementation of a digital twin based on a knowledge graph for Internet of Things (IoT) platforms. The digital twin is a virtual representation of a physical object or system that must continually integrate and update knowledge in rapidly changing environments. LÄS MER

7. 5. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval

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

   Författare :Christos Frantzolas; [2023]
   Nyckelord :Computer Vision; Natural Language Processing; Representation Learning; Metric Learning; Multimodal Retrieval; Bildigenkänning; Språkteknologi; Representationsinlärning; Metrisk inlärning; Multimodal informationssökning;

   Sammanfattning : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. LÄS MER