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CVIU
2004
115views more  CVIU 2004»
13 years 8 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
TKDE
2008
171views more  TKDE 2008»
13 years 8 months ago
Efficient Similarity Search in Nonmetric Spaces with Local Constant Embedding
Similarity-based search has been a key factor for many applications such as multimedia retrieval, data mining, Web search and retrieval, and so on. There are two important issues r...
Lei Chen 0002, Xiang Lian
DATESO
2004
81views Database» more  DATESO 2004»
13 years 10 months ago
Pivoting M-tree: A Metric Access Method for Efficient Similarity Search
In this paper pivoting M-tree (PM-tree) is introduced, a metric access method combining M-tree with the pivot-based approach. While in M-tree a metric region is represented by a hy...
Tomás Skopal
TCOM
2010
115views more  TCOM 2010»
13 years 7 months ago
On the accuracy of localization systems using wideband antenna arrays
—Accurate positional information is essential for many applications in wireless networks. Time-of-arrival (TOA) and angle-of-arrival (AOA) are the two most commonly used signal m...
Yuan Shen, Moe Z. Win
WIRN
2005
Springer
14 years 2 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini