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APVIS
2009
13 years 6 months ago
Visualizing time-varying features with TAC-based distance fields
To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-vary...
Teng-Yok Lee, Han-Wei Shen
CVPR
2012
IEEE
11 years 7 months ago
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynami
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandra...
IDA
2003
Springer
13 years 10 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 6 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
ICPR
2010
IEEE
13 years 9 months ago
Symbol Classification Using Dynamic Aligned Shape Descriptor
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
Alicia Fornés, Sergio Escalera, Josep Llados, Ern...