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» Forecasting high-dimensional data
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SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
16 years 6 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
SODA
2010
ACM
171views Algorithms» more  SODA 2010»
16 years 3 months ago
Coresets and Sketches for High Dimensional Subspace Approximation Problems
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
Dan Feldman, Morteza Monemizadeh, Christian Sohler...
TASLP
2008
176views more  TASLP 2008»
15 years 5 months ago
Analysis of Minimum Distances in High-Dimensional Musical Spaces
Abstract--We propose an automatic method for measuring content-based music similarity, enhancing the current generation of music search engines and recommender systems. Many previo...
Michael Casey, Christophe Rhodes, Malcolm Slaney
TSP
2008
117views more  TSP 2008»
15 years 5 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
TKDE
2011
332views more  TKDE 2011»
15 years 26 days ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose