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» A hierarchical model of data locality
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CVPR
2007
IEEE
16 years 5 days ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
186
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POPL
2007
ACM
15 years 10 months ago
Locality approximation using time
Reuse distance (i.e. LRU stack distance) precisely characterizes program locality and has been a basic tool for memory system research since the 1970s. However, the high cost of m...
Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Din...
ICML
2010
IEEE
14 years 11 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
HPCC
2009
Springer
15 years 1 months ago
Dynamically Filtering Thread-Local Variables in Lazy-Lazy Hardware Transactional Memory
Abstract--Transactional Memory (TM) is an emerging technology which promises to make parallel programming easier. However, to be efficient, underlying TM system should protect only...
Sutirtha Sanyal, Sourav Roy, Adrián Cristal...
IJCV
1998
233views more  IJCV 1998»
14 years 9 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker