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» Lossy Reduction for Very High Dimensional Data
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ICDE
2006
IEEE
120views Database» more  ICDE 2006»
15 years 5 months ago
Top-Down Mining of Interesting Patterns from Very High Dimensional Data
Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao
PERCOM
2010
ACM
14 years 10 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
15 years 3 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...
116
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JMLR
2010
119views more  JMLR 2010»
14 years 6 months 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»
15 years 3 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