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SPIRE
2005
Springer
16 years 15 days ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 1 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
CVPR
2007
IEEE
16 years 9 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
WWW
2006
ACM
16 years 7 months ago
Image annotation using search and mining technologies
In this paper, we present a novel solution to the image annotation problem which annotates images using search and data mining technologies. An accurate keyword is required to ini...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
16 years 8 months ago
Keyword Search on Spatial Databases
Many applications require finding objects closest to a specified location that contains a set of keywords. For example, online yellow pages allow users to specify an address and a ...
Ian De Felipe, Vagelis Hristidis, Naphtali Rishe