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» Identifying Objects Using Cluster and Concept Analysis
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83
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FLAIRS
2007
15 years 1 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
92
Voted
LREC
2008
126views Education» more  LREC 2008»
15 years 16 days ago
Identifying Strategic Information from Scientific Articles through Sentence Classification
We address here the need to assist users in rapidly accessing the most important or strategic information in the text corpus by identifying sentences carrying specific information...
Fidelia Ibekwe-Sanjuan, Chaomei Chen, Roberto Pinh...
WEBI
2009
Springer
15 years 5 months ago
Revealing Hidden Community Structures and Identifying Bridges in Complex Networks: An Application to Analyzing Contents of Web P
The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a netwo...
Faraz Zaidi, Arnaud Sallaberry, Guy Melanço...
SIGMOD
2000
ACM
137views Database» more  SIGMOD 2000»
15 years 3 months ago
LOF: Identifying Density-Based Local Outliers
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
CVPR
2007
IEEE
16 years 1 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater