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VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 5 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
FORMATS
2007
Springer
15 years 9 months ago
Partial Order Reduction for Verification of Real-Time Components
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
John Håkansson, Paul Pettersson
ACMSE
2005
ACM
15 years 11 months ago
Using nonlinear dimensionality reduction in 3D figure animation
This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing ...
A. Elizabeth Seward, Bobby Bodenheimer
PAMI
2011
15 years 16 days ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
297
Voted
ICDE
2003
IEEE
193views Database» more  ICDE 2003»
16 years 7 months ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...