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» Collusion set detection using graph clustering
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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
14 years 3 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
ECCV
2010
Springer
14 years 22 days ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
ICNP
2000
IEEE
14 years 1 months ago
Convergent Multi-Path Routing
We present a protocol for maintaining multiple paths to each destination in a network of processes. For each destination, each process in the network maintains a set of neighbors ...
Jorge Arturo Cobb
BMCBI
2006
110views more  BMCBI 2006»
13 years 8 months ago
CpGcluster: a distance-based algorithm for CpG-island detection
Background: Despite their involvement in the regulation of gene expression and their importance as genomic markers for promoter prediction, no objective standard exists for defini...
Michael Hackenberg, Christopher Previti, Pedro Lui...
NIPS
2008
13 years 10 months ago
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
Tae-Kyun Kim, Roberto Cipolla