Sökning: "mode algoritmer"
Visar resultat 6 - 10 av 15 uppsatser innehållade orden mode algoritmer.
6. Normalizing Flow based Hidden Markov Models for Phone Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The task of Phone recognition is a fundamental task in Speech recognition and often serves a critical role in bench-marking purposes. Researchers have used a variety of models used in the past to address this task, using both generative and discriminative learning approaches. LÄS MER
7. Upphovsrättsligt intrång vid automatiserad datorstödd analys av information - Om användningen av data vid text- och datautvinning innebär ett upphovsrättsligt intrång
Kandidat-uppsats, Lunds universitet/Institutionen för handelsrättSammanfattning : The essay studies the problem between text and data mining (TDM) and copyrighted works. Through technological development, TDM is used, among other things, to make automated decisions in the authorities and in the fashion industry as tools that find similarities between different garments. LÄS MER
8. Text-to-image Synthesis for Fashion Design
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Generating high-quality images from textual descriptions is an active research direction in image generation and has aroused great interest in fashion design. The synthesized image should be consistent with the meaning of text as well as being of acceptable quality. LÄS MER
9. Puncturable Symmetric KEMs for Forward-Secret 0-RTT Key Exchange
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The latest version of the Transport Layer Security protocol (TLS 1.3) introduces a pre-shared key zero round-trip time (0-RTT) mode. This enables session resumption with no latency before the first application data can be sent, at the cost of losing forward secrecy and replay protection. LÄS MER
10. Efficient Barrier Option Greeks using Automatic Differentation
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Automatic Differentiation (AD) is an effective method for calculation of derivatives. It can evaluate an unlimited number of derivatives to a fixed cost relative to the computing time of the original function. The AD technique is used in many fields for large and complex calculations in order to get accurate values of derivatives fast. LÄS MER