52 search results - page 2 / 11 » Euclidean Embedding of Co-Occurrence Data |
COLT
2001
Springer
13 years 9 months ago
2001
Springer
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
AAAI
2006
13 years 6 months ago
2006
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
GIS
2009
ACM
13 years 9 months ago
2009
ACM
More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user–generated contents ...