Sciweavers

13336 search results - page 2227 / 2668
» Computer Vision: Algorithms and Applications
Sort
View
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 8 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 8 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
MOBIHOC
2003
ACM
16 years 7 months ago
Connected sensor cover: self-organization of sensor networks for efficient query execution
Spatial query execution is an essential functionality of a sensor network, where a query gathers sensor data within a specific geographic region. Redundancy within a sensor networ...
Himanshu Gupta, Samir R. Das, Quinyi Gu
IPSN
2010
Springer
16 years 2 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
« Prev « First page 2227 / 2668 Last » Next »