As with any computer, attaining maximum performance from a GPU requires some understanding of its architecture. The previous two chapters provide a good overview of GPU architecture and the trends that govern its evolution. As those chapters showed, GPUs are designed for computer ...
Titled “Interconnection,” the video utilized projection mapping (also known as spatial augmented reality) techniques to render the world’s third largest building in a blaze of shape-shifting, technicolor graphics and animations. Taking home top honors at the event, the projection required the use...
A survey of map merging techniques for cooperative-SLAM. In: 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). Vol. 1. Daejeon, Korea (South): IEEE; 2012. pp. 285-287 6. Magnusson M, Vaskevicius N, Stoyanov T, Pathak K, Birk A. Beyond points: ...
The comparison results with existing photon mapping techniques indicate that our method gives significant improvement in speed with the same accuracy.doi:10.1007/s11390-015-1542-1Chun-Meng KangSchool of Computer Science and TechnologyLu WangSchool of Computer Science and TechnologyPei Wang...
In NLP tasks, text data is often transformed into numerical representations using techniques like word embeddings (e.g., Word2Vec, GloVe) or TF-IDF (Term Frequency-Inverse Document Frequency). These numerical representations allow machine learning models to work with text data effectively. ...
3 Dynamic mapping techniques Dynamic mapping is an on-line mapping strategy. The ready tasks are mapped to the processors by observing the load of the processors at run-time. So the placement of tasks on NoC can be changed during execution of the application. In [8], authors have proposed...
which resulted in four attributes:static QA techniques,dynamic QA techniques,software domainandcombination. The term “software”, for example, belongs to the population criteria, but no concrete term was selected for the outcome aspect in order not to restrict the result set, i.e., all existing...
This is because deep learning techniques together with computer vision have become more powerful and accurate than ever in tasks like object detection. These advancements can bring a radical change in the development of high-quality assistive technologies for VI/blind users. Additionally, an overview ...
Moreover, Table 2 summarizes the taxonomy of the examined semantic mapping techniques. Indoors single scene interpretation. Muller and Behnke [63] proposed a framework for semantic annotation of RGB-D5 data. More precisely, an efficient GPU6 implementation of Random Forests to cluster the scene ...
As for PCA, the MNF processing techniques assisted us in discriminating distinct spectral components in the image and therefore aided in the classification of different geological units. 3.3.5 Processing for lineament extraction Lineaments can be recognized as edges between zones of tonal differences...