ACL
2008
13 years 6 months ago
2008
Current research in automatic subjectivity analysis deals with various kinds of subjective statements involving human attitudes and emotions. While all of them are related to subj...
COCO
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we study the problem of explicitly constructing a dimension expander raised by [BISW04]: Let Fn be the n dimensional linear space over the field F. Find a small (ide...
ICPP
1999
IEEE
13 years 9 months ago
1999
IEEE
The vector-clock size necessary to characterize causality in a distributed computation is bounded by the dimension of the partial order induced by that computation. In an arbitrar...
DOLAP
1999
ACM
13 years 9 months ago
1999
ACM
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related dimensions", or...
COCO
2001
Springer
13 years 9 months ago
2001
Springer
In this paper we investigate effective versions of Hausdorff dimension which have been recently introduced by Lutz. We focus on dimension in the class E of sets computable in line...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
KR
2004
Springer
13 years 10 months ago
2004
Springer
To support commonsense reasoning about space, we require a qualitative calculus of spatial entities and their relations. One requirement for such a calculus, which has not so far ...
MMM
2005
Springer
13 years 10 months ago
2005
Springer
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
FGR
2006
IEEE
13 years 10 months ago
2006
IEEE
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
SISAP
2008
IEEE
13 years 11 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...