منابع مشابه
Lost in Object Space
The functionality in object-oriented programs is fragmented in its objects. Composing the whole functionality of such a program out of the functionality of the objects is not a trivial task. Furthermore, the role that objects play during the execution is for many students unclear. Consequently many novice students suffer from the ”lost in object space” phenomenon. In this paper we present an en...
متن کاملLost in space.
Executive summary: We scrutinized peer-reviewed literature, technical books, and key reports in order to detect any evidence for a differential ability between public and public lands to protect imperiled species in the United States. Limitations in data availability and/or in study scale limited our comparison mostly to certain contrasts of federal public versus mostly private lands. At a nati...
متن کاملLost Space Renewal; a Reborn of an Urban Water Body
Due to rapid growth of urbanization and economic demand, we are continuously losing our fields,our free lands, open sky, ponds, lakes; actually our breathing spaces. Sometimes for zoning policies, migration ortransferal of a particular business or activity, a place like waterfronts, body of water, military or industrial sites can lostits importance, kept vacant and become a dead place. These ar...
متن کاملLost in Space: Geolocation in Event Data
Extracting the “correct” location information from text data, i.e., determining the place of event, has long been a goal for automated text processing. To approximate human-like coding schema, we introduce a supervised machine learning algorithm that classifies each location word to be either correct or incorrect. We use news articles collected from around the world (Integrated Crisis Early War...
متن کاملSos, Lost in a High Dimensional Space
Face recognition methods based on Principle Component Analysis (PCA), known as the eigen face method, were some of the best performing methods for some time and are still often used as base line in comparisons. One of the best known variants is the combination of eigenfaces with the log likelihood ratio distance measure. The last few years no large improvements have been made and the method is ...
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ژورنال
عنوان ژورنال: Science
سال: 2008
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.320.5879.1027