Essays about: "csc"

Showing result 26 - 30 of 1102 essays containing the word csc.

1. 26. Recognizing Semantics in Human Actions with Object Detection

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Oscar Friberg; [2017]
   Keywords : Convolutional; Neural Networks; Artificial; Computer; Vision; Human; Action; Recognition; Faltnings; Neurala nätverk; Artificiell; Dator; Seende; Mänsklig; Aktivitet; Igänkänning;

   Abstract : Two-stream convolutional neural networks are currently one of the most successful approaches for human action recognition. The two-stream convolutional networks separates spatial and temporal information into a spatial stream and a temporal stream. READ MORE

3. 27. Post-quantum algorithms for digital signing in Public Key Infrastructures

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Mikael Sjöberg; [2017]
   Keywords : Post-quantum algorithms; Digital signature algorithms; Public Key Infrastructures;

   Abstract : One emerging threat to Public Key Infrastructures is the possible development of large-scale quantum computers, which would be able to break the public-key cryptosystems used today. Several possibly post-quantum secure cryptographic algorithms have been proposed but so far they have not been used in many practical settings. READ MORE

4. 28. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Oktay Bahceci; [2017]
   Keywords : Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding;

   Abstract : Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. READ MORE

5. 29. Applying investor sentiment to a prediction model of the stock market

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : August Bergman; Sonja Ericsson; [2017]
   Keywords : ;

   Abstract : Using data-driven methods to predict the movements of the stock market is a growing field of research. Recently, large amounts of data sourced from online news and social media have been utilized to predict movements in financial markets. READ MORE

6. 30. Optimizing Hidden Markov Models for the Internet of Things

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Mauritz Zachrisson; [2017]
   Keywords : ;

   Abstract : The Internet of Things is a new and emerging branch of control systems where gatheredsensor data is analyzed using computer algorithms. This report applies Markov models, astatistical model based on states with transitions between them, to temperature datagathered from an office. READ MORE