879 search results - page 8 / 176 » Forecasting high-dimensional data |
129
Voted
ICDM
2002
IEEE
15 years 7 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
120
Voted
COMAD
2008
15 years 3 months ago
2008
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
186
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PODS
1997
ACM
15 years 6 months ago
1997
ACM
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
101
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
127
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DEXA
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...