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SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 10 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
STOC
1995
ACM
114views Algorithms» more  STOC 1995»
14 years 8 days ago
On data structures and asymmetric communication complexity
c communication case. This lemma generalizes and abstracts in a very clean form the ``round reduction'' techniques used in many previous lower bound proofs. ] 1998 Academ...
Peter Bro Miltersen, Noam Nisan, Shmuel Safra, Avi...
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 8 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 2 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
ISCC
2009
IEEE
106views Communications» more  ISCC 2009»
14 years 3 months ago
Multivariate reduction in wireless sensor networks
In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. T...
Orlando Silva Junior, André L. L. de Aquino...