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» Mining models of human activities from the web
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CVPR
2011
IEEE
13 years 3 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 ...
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
14 years 1 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
VIIP
2001
13 years 8 months ago
Feature Silhouette Extraction from Photographs for Virtual Human Modeling
In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorith...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
CHI
2005
ACM
14 years 7 months ago
Web browsing today: the impact of changing contexts on user activity
Although web browsing behaviour was studied in detail in the mid-to-late 1990s, few recent results have been reported. The nature of web browsing has changed significantly since t...
Kirstie Hawkey, Kori Inkpen