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» Learning Event Durations from Event Descriptions
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66
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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 4 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
88
Voted
ICIP
2009
IEEE
15 years 11 months ago
Semantic Labeling Of Track Events Using Time Series Segmentation And Shape Analysis
This paper presents a novel framework for applying semantic labels to events within a track. A track is a two-dimensional (2D) or a three-dimensional (3D) signal in time where eac...
LWA
2008
14 years 11 months ago
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
Felix Jungermann, Katharina Morik
90
Voted
AI
2008
Springer
14 years 10 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
81
Voted
ICPR
2008
IEEE
15 years 11 months ago
Audio-visual event classification via spatial-temporal-audio words
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...