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» Evaluating algorithms that learn from data streams
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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
16 years 2 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...
MMS
2000
15 years 7 months ago
SMDP: Minimizing Buffer Requirements for Continuous Media Servers
Excessive buffer requirement to handle continuous-media playbacks is an impediment to costeffective provisioning for on-line video retrieval. Given the skewed distribution of video...
Youjip Won, Jaideep Srivastava
CVPR
2010
IEEE
15 years 7 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 7 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
ICPR
2006
IEEE
16 years 8 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...