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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 8 days ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
ICASSP
2011
IEEE
14 years 5 months ago
Enriching Mandarin speech recognition by incorporating a hierarchical prosody model
This paper presents a new probabilistic framework of Mandarin speech recognition by incorporating a sophisticated hierarchical prosody model into the conventional HMM-based system...
Jyh-Her Yang, Ming-Chieh Liu, Hao-Hsiang Chang, Ch...
CVPR
2010
IEEE
15 years 10 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
117
Voted
ECML
2001
Springer
15 years 6 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
BMCBI
2005
113views more  BMCBI 2005»
15 years 1 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte