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» Methods for Binary Multidimensional Scaling
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VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 1 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
COMCOM
2004
149views more  COMCOM 2004»
15 years 1 months ago
Accelerating network security services with fast packet classification
To protect a network, secure network systems such as intrusion detection system (IDS) and firewall are often installed to control or monitor network traffic. These systems often i...
Shiuh-Pyng Shieh, Fu-Yuan Lee, Ya-Wen Lin
ECCV
2006
Springer
16 years 3 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
ICIP
2009
IEEE
16 years 2 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
FTML
2010
159views more  FTML 2010»
15 years 1 days ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges