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» Lossy Reduction for Very High Dimensional Data
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ICDE
2006
IEEE
120views Database» more  ICDE 2006»
13 years 11 months ago
Top-Down Mining of Interesting Patterns from Very High Dimensional Data
Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao
PERCOM
2010
ACM
13 years 3 months ago
Resilient image sensor networks in lossy channels using compressed sensing
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
Scott Pudlewski, Arvind Prasanna, Tommaso Melodia
ICIP
1994
IEEE
13 years 9 months ago
Very High Speed Entropy Coding
Efforts to build high-speed hardware for many different entropy coders are limited by fundamental feedback loops. Here is a method that allows for parallel compression in hardware...
Martin P. Boliek, James D. Allen, Edward L. Schwar...
JMLR
2010
119views more  JMLR 2010»
13 years 7 days ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 9 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra