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» Using query term order for result summarisation
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QSHINE
2009
IEEE
15 years 10 months ago
Using Sensor Networks to Measure Intensity in Sporting Activities
The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provid...
Mark Roantree, Michael Whelan, Jie Shi, Niall Moyn...
SIGMOD
2010
ACM
308views Database» more  SIGMOD 2010»
15 years 2 months ago
GBLENDER: towards blending visual query formulation and query processing in graph databases
Given a graph database D and a query graph g, an exact subgraph matching query asks for the set S of graphs in D that contain g as a subgraph. This type of queries find important...
Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, Ja...
SIGIR
2011
ACM
14 years 6 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel
ICPR
2010
IEEE
15 years 7 months ago
Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor
In this paper we present a method for the retrieval of images in terms of perceptual similarity. Local color information is added to the shape context descriptor in order to obtain...
Marçal Rusiñol, Farshad Nourbakhsh, Dimosthenis ...
IDA
2010
Springer
15 years 2 months ago
Clustering with feature order preferences
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...