Matsuoka, S., Watanabe, T., Yonezawa, A. (1991). Hybrid group reflective architecture for object-oriented concurrent reflective programming. In: America, P. (eds) ECOOP'91 European Conference on Object-Oriented
In this code, we first let the MDG standard fetch the Workitem information, then we add the Material data using theMaster Data Governance Application Programming Interface. The code uses some tricks for enhancing the performance that are applicable to MDG programming as a ...
An image may be received, a portion of which corresponds to a surface of an object, such as a book, a CD, a DVD, a wine bottle, etc. The portion of the image that corresponds to the surface of the obj
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SWNetworking - Powerful high-level iOS, macOS and tvOS networking library. SOAPEngine - This generic SOAP client allows you to access web services using a your iOS app, macOS app and AppleTV app. Swish - Nothing but Net(working) 🔶 Malibu - 🏄 Malibu is a networking library built on...
(such as the compiler1140), assembler, interpreter, or the like, which may or may not be included within the memory1120, so as to operate properly in connection with the O/S1150. Furthermore, the application1160can be written as (a) an object oriented programming language, which has ...
1. An automatic digital video imaging based code symbol reading system for reading code symbols on objects presented at point of sale (POS) environments, comprising: a housing having an imaging window; a digital image formation and detection subsystem, disposed within said housing, and having (i...
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, su...
From the perspective of top-level structures, object detection can be divided into three steps: proposal generation, feature extraction, and classification. The proposal generation stage mainly involves the search of possible ROIs (regions of interest) of the target from images containing a large ...
Object detection methods that use deep learning methods (which are increasing in popularity) have reached a state-of-art level [1]. Many studies on the detection of objects in remote sensing images are available in this field of study. For instance, Peicheng et al. [2] proposed a novel ...