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RAS
2007
113views more  RAS 2007»
13 years 9 months ago
From images to rooms
In this paper we start from a set of images obtained by the robot that is moving around in an environment. We present a method to automatically group the images into groups that c...
Zoran Zivkovic, Olaf Booij, Ben J. A. Kröse
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 2 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
CVPR
2008
IEEE
14 years 11 months ago
Matching images under unstable segmentations
Region based features are getting popular due to their higher descriptive power relative to other features. However, real world images exhibit changes in image segments capturing ...
Varsha Hedau, Himanshu Arora, Narendra Ahuja
PRL
2010
158views more  PRL 2010»
13 years 8 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
EMMCVPR
2001
Springer
14 years 2 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...