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128
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VLDB
2000
ACM
229views Database» more  VLDB 2000»
15 years 4 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
122
Voted
EDBT
2009
ACM
184views Database» more  EDBT 2009»
15 years 7 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
ICIP
2001
IEEE
16 years 2 months ago
Scale space segmentation of color images using watersheds and fuzzy region merging
A multi-resolution segmentation approach for color images is proposed. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employ...
S. Makrogiannis, Iris Vanhamel, Hichem Sahli, Spir...
111
Voted
PRL
2002
141views more  PRL 2002»
15 years 4 days ago
Edge detection by scale multiplication in wavelet domain
This paper proposes a wavelet based edge detection scheme by scale multiplication. The dyadic wavelet transforms at two adjacent scales are multiplied as a product function to mag...
Lei Zhang 0006, Paul Bao
129
Voted
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
16 years 19 days ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...