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ISNN
2011
Springer
14 years 3 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
ICCAD
2004
IEEE
147views Hardware» more  ICCAD 2004»
15 years 9 months ago
Interval-valued reduced order statistical interconnect modeling
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
James D. Ma, Rob A. Rutenbar
115
Voted
ICPR
2008
IEEE
15 years 7 months ago
Figure-ground discrimination and distortion-tolerant recognition of color characters in scene images
This paper proposes a new technique of figureground discrimination of color characters in scene images following two steps. The first step is temporary binarization by selecting o...
Toru Wakahara
103
Voted
ICIP
2009
IEEE
14 years 10 months ago
Classified patch learning for spatially scalable video coding
This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
Xiaoyan Sun, Feng Wu
84
Voted
AMC
2007
128views more  AMC 2007»
15 years 18 days ago
Class label versus sample label-based CCA
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
Tingkai Sun, Songcan Chen