148 search results - page 17 / 30 » DiscLDA: Discriminative Learning for Dimensionality Reductio... |
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
JMLR
2006
13 years 7 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
PAMI
2008
13 years 7 months ago
2008
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
TKDE
2008
13 years 7 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...