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ICDE
2006
IEEE
110views Database» more  ICDE 2006»
16 years 8 months ago
Mining Dense Periodic Patterns in Time Series Data
Existing techniques to mine periodic patterns in time series data are focused on discovering full-cycle periodic patterns from an entire time series. However, many useful partial ...
Chang Sheng, Wynne Hsu, Mong-Li Lee
ICML
2005
IEEE
16 years 7 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 7 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
ICCD
2003
IEEE
147views Hardware» more  ICCD 2003»
16 years 3 months ago
An Efficient VLIW DSP Architecture for Baseband Processing
The VLIW processors with static instruction scheduling and thus deterministic execution times are very suitable for highperformance real-time DSP applications. But the two major w...
Tay-Jyi Lin, Chin-Chi Chang, Chen-Chia Lee, Chein-...
VAMOS
2009
Springer
16 years 1 months ago
Functional Variant Modeling for Adaptable Functional Networks
The application of functional networks in the automotive industry is still very slowly adopted into their development processes. Reasons for this are manifold. A functional networ...
Cem Mengi, Ibrahim Armaç