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ISNN
2011
Springer
14 years 7 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
ICCV
2003
IEEE
16 years 6 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja
CCS
2010
ACM
15 years 11 months ago
Bureaucratic protocols for secure two-party sorting, selection, and permuting
In this paper, we introduce a framework for secure two-party (S2P) computations, which we call bureaucratic computing, and we demonstrate its efficiency by designing practical S2P...
Guan Wang, Tongbo Luo, Michael T. Goodrich, Wenlia...
SEUS
2007
IEEE
15 years 10 months ago
Transparent and Selective Real-Time Interrupt Services for Performance Improvement
The popularity of mobile and multimedia applications made real-time support a mandatory feature for embedded operating systems. However, the current situation is that the overall p...
Jinkyu Jeong, Euiseong Seo, Dongsung Kim, Jinsoo K...
MLMI
2005
Springer
15 years 9 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu