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CVPR
2008
IEEE
16 years 5 months ago
A quasi-random sampling approach to image retrieval
In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are...
Jun Zhou, Antonio Robles-Kelly
ICDE
2009
IEEE
121views Database» more  ICDE 2009»
16 years 5 months ago
Large-Scale Deduplication with Constraints Using Dedupalog
We present a declarative framework for collective deduplication of entity references in the presence of constraints. Constraints occur naturally in many data cleaning domains and c...
Arvind Arasu, Christopher Ré, Dan Suciu
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 5 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
149
Voted
ICIP
2001
IEEE
16 years 5 months ago
Feature coincidence trees for registration of ultrasound breast images
Registration of an image, the query or reference, to a database of rotated and translated exemplars constitutes an important image retrieval and indexing application which arises i...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 5 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han