Sökning: "Bitmap"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Bitmap.
1. Reducing CPU scheduler latency in Linux
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : CPU schedulers are an integral part of all operating systems used in modern systems, as they enable efficient task execution. In recent years the demand for interactive tasks such as video playback, streaming and gaming has increased rapidly. LÄS MER
2. Semantic and Instance Segmentation of Room Features in Floor Plans using Mask R-CNN
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Machine learning techniques within Computer Vision are rapidly improving computers' high-level understanding of images, thus revealing new opportunities to accomplish tasks that previously required manual intervention from humans. This paper aims to study where the current machine learning state-of-the-art is when it comes to parsing and segmenting bitmap images of floor plans. LÄS MER
3. Dynamic Allocation for Embedded Heterogeneous Memory : An Empirical Study
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Embedded systems are omnipresent and contribute to our lives in many ways by instantiating functionality in larger systems. To operate, embedded systems require well-functioning software, hardware as well as an interface in-between these. The hardware and software of these systems is under constant change as new technologies arise. LÄS MER
4. The BXT-Bitmap : An Efficient Searchable Symmetric Encryption Scheme
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikSammanfattning : .... LÄS MER
5. Putting things into context: segmenting photographs based on hand-drawn lines
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : This report presents a method for finding areas of interest in an image, based on lines drawn in that image. The method is designed to work with photographic images of whiteboards, where the information on the whiteboard can be categorized based on the structure of what is drawn on it. Structurally, the method is divided into two main phases. LÄS MER