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» Fuzzy Observable Markov Models for Pattern Recognition
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KDD
2010
ACM
250views Data Mining» more  KDD 2010»
15 years 1 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
12 years 12 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
PRL
2006
121views more  PRL 2006»
14 years 9 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
CVPR
1998
IEEE
15 years 11 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
ICPR
2008
IEEE
15 years 10 months ago
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition
In this work we evaluate a recently published vector quantization scheme, which has been developed to handle binary features like the pressure feature occurring in on-line handwri...
Gerhard Rigoll, Joachim Schenk