502 search results - page 39 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
TKDE
2008
13 years 8 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...
SC
2009
ACM
14 years 1 months ago
2009
ACM
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in finance...
APNOMS
2006
Springer
14 years 17 days ago
2006
Springer
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
ISNN
2007
Springer
14 years 3 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...