75 search results - page 11 / 15 » Optimal dimensionality of metric space for classification |
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
PR
2008
13 years 7 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Image segmentation is the first stage of processing in many practical computer vision systems. While development of particular segmentation algorithms has attracted considerable re...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
ISNN
2011
Springer
12 years 10 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...