396 search results - page 7 / 80 » Lossy Reduction for Very High Dimensional Data |
NIPS
1998
14 years 10 months ago
1998
The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
81
Voted
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
SDM
2004
SIAM
14 years 10 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
98
Voted
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...