نتایج جستجو برای: granularity
تعداد نتایج: 8120 فیلتر نتایج به سال:
The granularity of concurrency control has a big impact on the performance of transactional systems. Concurrency control granularity and data granularity (data size) are usually the same. The e ect of this coupling is that if a coarse granularity is used, the overhead of data access (number of disk accesses) is reduced, but also the degree of concurrency. On the other hand, if a ne granularity ...
Any phenomenon can be seen under a more or less precise granularity, depending on the kind of details which are perceivable. This can be applied to time and space. A characteristic of abstract spaces such as the one used for representing time is their granularity independence, i.e. the fact that they have the same structure under different granularities. So, time “places” and their relationship...
Granularity is an integral feature of temporal data. For instance, a person’s age is commonly given to the granularity of years and the time of their next airline flight to the granularity of minutes. A granularity creates a discrete image, in terms of granules, of a (possibly continuous) time-line. We present a formal model for granularity in temporal operations that is integrated with tempora...
Many articles discuss the design of fineor coarse-grained IT services without defining what granularity exactly means. However, this is important to know since the granularity influence e.g. the reusability or the composition effort of services and thus the development, maintenance and composition costs of a service realization. Therefore, we present different metrics to evaluate and compare th...
In recent years, Latent Semantic Indexing (LSI) has been recognized as an effective tool for Information Retrieval in text documents. The level of “granularity” in LSI (i.e. whether LSI is performed on documents, paragraphs, sentences, phrases, etc.) is somewhat of a limiting factor, in that LSI comparisons can only be made at the level of granularity chosen. Here we argue that, as long as a re...
Scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this challenging problem, numerous innovative methods have successively proposed and incorporating linguistic knowledge into STR models recently become a prominent trend. In work, we first draw inspiration from the recent progress Vision Transformer (ViT) to construct conceptually simple yet p...
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