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ISNN
2011
Springer
14 years 4 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
135
Voted
TMM
2010
241views Management» more  TMM 2010»
14 years 8 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
CVPR
2005
IEEE
16 years 3 months ago
Fisher+Kernel Criterion for Discriminant Analysis
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Cha...
IV
2005
IEEE
105views Visualization» more  IV 2005»
15 years 7 months ago
Learnability of Interactive Coordinated-View Visualizations
This paper examines the Human Computer Interaction issue of learnability of interactive coordinated-view visualizations. We take the case of DataMaps, a Census data visualization ...
Sujatha Krishnamoorthy, Christopher North
111
Voted
SMI
2005
IEEE
15 years 7 months ago
Volumetric Data Analysis using Morse-Smale Complexes
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a real-valued function into regions having uniform gradient flow behavior. In this...
Vijay Natarajan, Valerio Pascucci