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PAMI
2007
202views more  PAMI 2007»
15 years 6 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PERCOM
2010
ACM
15 years 5 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
199
Voted
RAID
2010
Springer
15 years 5 months ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter
191
Voted
MASS
2010
157views Communications» more  MASS 2010»
15 years 4 months 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
ICDAR
2009
IEEE
15 years 4 months ago
A Method for Automatically Extracting Road Layers from Raster Maps
To exploit the road network in raster maps, the first step is to extract the pixels that constitute the roads and then vectorize the road pixels. Identifying colors that represent...
Yao-Yi Chiang, Craig A. Knoblock
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