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CVPR
2011
IEEE
13 years 5 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
IJCNN
2006
IEEE
14 years 3 months ago
A Self-Organising Map Approach for Clustering of XML Documents
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
Francesca Trentini, Markus Hagenbuchner, Alessandr...
WWW
2010
ACM
14 years 4 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han
INTERACT
2003
13 years 10 months ago
Clustering the Information Space Using Top-Ranking Sentences: A Study of User Interaction
: By considering sentences selected by a query-biased sentence extraction model from the top-retrieved documents, we create a personalised information space which is characterised ...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven, R...
COSIT
2005
Springer
125views GIS» more  COSIT 2005»
14 years 2 months ago
Landmark Extraction: A Web Mining Approach
Landmarks play crucial roles in human geographic knowledge. There has been much work focusing on the extraction of landmarks from geographic information systems (GIS) or 3D city mo...
Taro Tezuka, Katsumi Tanaka