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CVPR
2007
IEEE
16 years 2 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
100
Voted
CVPR
2010
IEEE
15 years 9 months ago
The chains model for detecting parts by their context
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...
Leonid Karlinsky, Michael Dinerstein, Daniel Harar...
ACSAC
2004
IEEE
15 years 4 months ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
121
Voted
ALGORITHMICA
2007
86views more  ALGORITHMICA 2007»
15 years 26 days ago
Detecting Holes and Antiholes in Graphs
In this paper we study the problems of detecting holes and antiholes in general undirected graphs, and we present algorithms for these problems. For an input graph G on n vertices ...
Stavros D. Nikolopoulos, Leonidas Palios
BMCBI
2006
100views more  BMCBI 2006»
15 years 24 days ago
Using the nucleotide substitution rate matrix to detect horizontal gene transfer
Background: Horizontal gene transfer (HGT) has allowed bacteria to evolve many new capabilities. Because transferred genes perform many medically important functions, such as conf...
Micah Hamady, M. D. Betterton, Rob Knight