منابع مشابه
Spatial-Query-by-Sketch
Today’s methods for interacting with geographic information systems (GISs) and geographic databases are primarily aspatial, as they require users to deal with geographic data primarily through alphanumeric command languages. Spatial querying by typing a command in some spatial query language or by selecting the same syntax from pull-down menus is a tedious process, because it often requires ext...
متن کاملModel Sketch
We present and discuss graphical model sketches [KBG16], a set of three algorithms for approximating the maximum likelihood estimates of the marginal and conditional probabilities within a Bayesian network. In particular, we motivate the problem at hand, highlight the commonalities among the three algorithms and contextualize them within the framework of frequency estimation, providing color al...
متن کاملSketch-based Spatial Reasoning in Geologic Interpretation
Geologic interpretation is the process of determining a sequence of geological events that could have caused a particular geologic formation. This paper describes a model for geologic interpretation of sketches, which are collected and represented with our open-domain sketch understanding system, CogSketch. The spatial relations that CogSketch computes are combined with a domain theory for geol...
متن کاملQualitative Spatial Reasoning about Sketch Maps
tation used in many geospatial-reasoning tasks. This article describes techniques we have developed that enable software to perform humanlike reasoning about sketch maps. We illustrate the utility of these techniques in the context of nuSketch Battlespace, a research system that has been successfully used in a variety of experiments. After an overview of the nuSketch approach and nuSketch Battl...
متن کاملGraphical Model Sketch
Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables. The count-min (CM) sketch is a popular approach to estimating probabilities in high-cardinality data but it does not scale well beyond a few variables. In ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2015
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2015.2404827