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» Automatic Detection of Structural Changes in Data Warehouses
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NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
TCIAIG
2010
13 years 2 months ago
Game Bot Detection via Avatar Trajectory Analysis
The objective of this work is to automatically detect the use of game bots in online games based on the trajectories of account users. Online gaming has become one of the most popu...
Hsing-Kuo Pao, Kuan-Ta Chen, Hong-Chung Chang
ICISS
2005
Springer
14 years 1 months ago
Event Detection in Multilevel Secure Active Databases
The event-condition-action paradigm (also known as triggers or rules) is a powerful technology. It gives a database “active” capabilities – the ability to react automatically...
Indrakshi Ray, Wei Huang
BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
Identifying allosteric fluctuation transitions between different protein conformational states as applied to Cyclin Dependent Ki
Background: The mechanisms underlying protein function and associated conformational change are dominated by a series of local entropy fluctuations affecting the global structure ...
Jenny Gu, Philip E. Bourne
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht