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ICCS
2005
Springer
16 years 1 days ago
Dimension Reduction for Clustering Time Series Using Global Characteristics
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
IDA
2009
Springer
16 years 1 months ago
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
Francisco Martínez-Álvarez, Alicia T...
ASPDAC
2006
ACM
130views Hardware» more  ASPDAC 2006»
16 years 15 days ago
Convergence-provable statistical timing analysis with level-sensitive latches and feedback loops
Statistical timing analysis has been widely applied to predict the timing yield of VLSI circuits when process variations become significant. Existing statistical latch timing met...
Lizheng Zhang, Jeng-Liang Tsai, Weijen Chen, Yuhen...
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 10 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
AAAI
2007
15 years 8 months ago
Randomized Adaptive Spatial Decoupling for Large-Scale Vehicle Routing with Time Windows
In recent years, the size of combinatorial applications and the need to produce high-quality solutions quickly have increased steadily, providing significant challenges for optim...
Russell Bent, Pascal Van Hentenryck