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- 5350Toronto Stock Exchange
- 482Marian Gould Gallagher Law Library
- 448Dolphin, Ric
- 446Dolphin Media Inc.
- 236TSX Venture Exchange
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- 1567University of Alberta Libraries Licensed Resources/The Hill Times
- 652Oil Sands Research and Information Network (OSRIN)
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1978
The monitoring network for ambient air quality in the AOSERP study area is described with particular reference to site location, instrumentation, measurement techniques and data sources. The results of one to three years of data from 68 exposure cylinders and 8 continuous monitoring stations are...
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2009-09-03
Broadband technology has captured the attention of many stakeholders throughout the world and is recognized as a “nation building” infrastructure enabling the future economic prosperity and improved living standards for many communities. In 2005, the Alberta government completed a significant...
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Amelanchier alnifolia: saskatoon, service berry, June berry, shadbush, shadblow, indian pear, may cherry
Download2013-10-17
Gould, K., Smreciu, A., Wood, S.
Species profile for Amelanchier alnifolia: saskatoon, service berry, June berry, shadbush, shadblow, indian pear, may cherry
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1979
Brusnyk, L., Lewin, V., Roberts, W.
During June, July, and August of 1976 three species of amphibians were found within the Alberta Oil Sands Project area. The wood frog (Rana sylvatica) was the most abundant and widespread species and was collected at each of 20 sites examined. Boreal chorus frogs (Pseudacris triseriata...
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An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
Download2001
Stehling, Renato, Falcao, Alexandre, Nascimento, Mario
Technical report TR01-03. In this paper, we present a new Content-Based Image Retrieval (CBIR) approach which is based on cluster analysis. A distinguishing aspect of CBIR is that it relies on a visual content representation (metadata) of the images. In order to produce such metadata, we propose...
