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TIP
2008
169views more  TIP 2008»
13 years 8 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
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 2 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
CI
2007
130views more  CI 2007»
13 years 8 months ago
Price Dynamics, Informational Efficiency, and Wealth Distribution in Continuous Double-Auction Markets
This paper studies the properties of the continuous double auction trading mechanishm using an artificial market populated by heterogeneous computational agents. In particular, we...
Javier Gil-Bazo, David Moreno, Mikel Tapia
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 3 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
WWW
2009
ACM
14 years 9 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...