Context Aware Information Model for Active Learning Object
نویسندگان
چکیده
منابع مشابه
Localization-Aware Active Learning for Object Detection
Active learning a class of algorithms that iteratively searches for the most informative samples to include in a training dataset has been shown to be effective at annotating data for image classification. However, the use of active learning for object detection is still largely unexplored as determining informativeness of an object-location hypothesis is more difficult. In this paper, we addre...
متن کاملStatic Context Model for Context Aware E-learning
Context aware E-Learning systems provide learning content according to a learner’s context. In order to determine a learner’s context, the parameters that constitute the context and the values of these parameters in the current learner’s situation have to be found. There are several existing context aware E-Learning systems and each of these are taking care of some of the context parameters lik...
متن کاملAn object-oriented version model for context-aware data management
Context-aware computing has been recognised as a powerful solution to address the requirements of many modern application domains. For example, in mobile computing, context is used to augment the user’s experience when interacting with a system by adapting responses to their current situation. In the domain of ubiquitous and pervasive computing, the role of context is often to compensate for th...
متن کاملContext Information vs. Sensor Information: A Model for Categorizing Context in Context-Aware Mobile Computing
Context-aware computing proposes technology that adapts according to the user’s situation and environment. Within mobile collaborative work the situation is viewed as an important factor, here context-awareness attempts to facilitate coordination in several ways. Although much research has been conducted, context-awareness is still defined very differently. Besides differing in definitions of c...
متن کاملPersonisAD: Distributed, Active, Scrutable Model Framework for Context-Aware Services
PersonisAD, is a framework for building context-aware, ubiquitous applications: its defining foundation is a consistent mechanism for scrutable modelling of people, sensors, devices and places. This paper describes the PersonisAD features for supporting distributed models with active elements which can trigger when relevant events occur. This framework makes it possible to quickly create new co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Baltic Journal of Modern Computing
سال: 2018
ISSN: 2255-8942,2255-8950
DOI: 10.22364/bjmc.2018.6.2.07