SAC
2008
ACM
13 years 11 months ago
2008
ACM
In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm mo...
SAC
2008
ACM
13 years 11 months ago
2008
ACM
We present CRF-Gradient, a self-healing gradient algorithm that provably reconfigures in O(diameter) time. Selfhealing gradients are a frequently used building block for distribut...
PVLDB
2008
13 years 11 months ago
2008
Many search engines and other web applications suggest auto-completions as the user types in a query. The suggestions are generated from hidden underlying databases, such as query...
OL
2008
13 years 11 months ago
2008
Building on an existing 2-approximate algorithm for the class of network design problems with downwards-monotone demand functions, many of which are NP-hard, we present an algorith...
PRL
2007
13 years 11 months ago
2007
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
PR
2007
13 years 11 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
PC
2007
13 years 11 months ago
2007
In this paper, we study the problem of optimal matrix partitioning for parallel dense factorization on heterogeneous processors. First, we outline existing algorithms solving the ...
PAMI
2007
13 years 11 months ago
2007
—Our goal is an automated 2D-image-pair registration algorithm capable of aligning images taken of a wide variety of natural and man-made scenes as well as many medical images. T...
PAMI
2007
13 years 11 months ago
2007
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
PAMI
2007
13 years 11 months ago
2007
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...