581 search results - page 3 / 117 » EM in High Dimensional Spaces |
ICONIP
2007
14 years 11 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
80
Voted
SIGMOD
2000
ACM
15 years 2 months ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
98
Voted
CEC
2007
IEEE
15 years 2 months ago
2007
IEEE
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
87
Voted
DEXA
2006
Springer
15 years 1 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 ...