نتایج جستجو برای: retrieve
تعداد نتایج: 17334 فیلتر نتایج به سال:
The purpose of BARCODE HOUSING SYTEM, a research project developed over the last four years, has been to create an Internet-based system which facilitates the interaction of the different actors involved in the design, construction and use of affordable housing built with industrialized methods. One of the components of the system is an environment which enables different users – architects, cl...
In most coastal waters, riverine inputs of suspended particulate matter (SPM) and colored dissolved organic (CDOM) are the primary optically active constituents. Moderate- high-resolution satellite optical sensors, such as Operational Land Imager (OLI) on Landsat-8 MultiSpectral Instrument (MSI) Sentinel-2, offer a synoptic view at high spatial resolution (10–30 m) with weekly revisits allowing...
Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challenging one which attracts researchers’ attention. Here, we make an attempt to retrieve the requested video contents from a long-length video. We issue one semantic query clip extracted...
This paper presents a multi-baseline DInSAR algorithm to obtain ground deformation and topography parameters from Quasi Coherent Targets (Q-CTs), such as the bare land and light cultivated areas that distribute broadly on the suburban ground surface. In this study the physical classification characteristics and coherence features are analyzed for Q-CTs targets selection. And a linked parameters...
We describe systems that use machine learning methods to retrieve and/or extract textual information from the Web. In particular, we present our Wisconsin Adaptive Web Assistant (WAWA), which constructs a Web agent by accepting user preferences in form of instructions and adapting the agent’s behavior as it encounters new information. Our approach enables WAWA to rapidly build instructable and ...
We attempted to eliminate non-relevant papers from results of PubMed searches for each topic. The system is called PETER (PubMed Enhancer Toward Efficient Research) and it works as follows. 1. get LocusLink IDs manually. 2. collect information of gene names (AKA synonyms) from public databases. 3. make synonym variations automatically. 4. search papers by PubMed with each synonym. 5. extract ti...
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