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145
Voted
MIA
2010
170views more  MIA 2010»
14 years 10 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
TALG
2010
158views more  TALG 2010»
14 years 10 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
147
Voted
WWW
2007
ACM
16 years 4 months ago
Open user profiles for adaptive news systems: help or harm?
Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems...
Jae-wook Ahn, Peter Brusilovsky, Jonathan Grady, D...
126
Voted
KDD
2005
ACM
185views Data Mining» more  KDD 2005»
16 years 4 months ago
Mining comparable bilingual text corpora for cross-language information integration
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of...
Tao Tao, ChengXiang Zhai
161
Voted
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
16 years 4 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu