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VLDB
2007
ACM
174views Database» more  VLDB 2007»
14 years 8 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
WSCG
2001
75views more  WSCG 2001»
13 years 10 months ago
Towards Mechanical Level of Detail for Knitwear Simulation
This paper introduces the foundations of a new mechanical level of detail method dedicated to knitted fabric simulation. This method consists as a reduction of the knitted cloth p...
Olivier Nocent, Jean-Michel Nourrit, Yannick R&eac...
AICCSA
2008
IEEE
276views Hardware» more  AICCSA 2008»
13 years 10 months ago
Effects of dimensionality reduction techniques on time series similarity measurements
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
Ghazi Al-Naymat, Javid Taheri
SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
14 years 3 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 6 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...