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» Algorithms for Spatial Outlier Detection
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139
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NIPS
2004
15 years 3 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
104
Voted
KAIS
2007
112views more  KAIS 2007»
15 years 2 months ago
The pairwise attribute noise detection algorithm
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Hu...
MASS
2010
157views Communications» more  MASS 2010»
15 years 13 days ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
106
Voted
ICPR
2010
IEEE
15 years 8 months ago
On-Line Video Recognition and Counting of Harmful Insects
This article is concerned with on-line counting of harmful insects of certain species in videos in the framework of in situ video-surveillance that aims at the early detection of ...
Ikhlef Bechar
110
Voted
ICCAD
2010
IEEE
121views Hardware» more  ICCAD 2010»
15 years 15 days ago
Multi-Wafer Virtual Probe: Minimum-cost variation characterization by exploring wafer-to-wafer correlation
In this paper, we propose a new technique, referred to as MultiWafer Virtual Probe (MVP) to efficiently model wafer-level spatial variations for nanoscale integrated circuits. Tow...
Wangyang Zhang, Xin Li, Emrah Acar, Frank Liu, Rob...