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APIN
1998
132views more  APIN 1998»
15 years 6 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ECCV
2002
Springer
16 years 8 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
ICDE
2008
IEEE
103views Database» more  ICDE 2008»
16 years 8 months ago
Efficient Information Extraction over Evolving Text Data
Abstract-- Most current information extraction (IE) approaches have considered only static text corpora, over which we typically have to apply IE only once. Many real-world text co...
Fei Chen 0002, AnHai Doan, Jun Yang 0001, Raghu Ra...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 6 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...