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» An algorithmic approach to knowledge evolution
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
INFOCOM
2003
IEEE
15 years 12 months ago
Routing for Network Capacity Maximization in Energy-constrained Ad-hoc Networks
— We present a new algorithm for routing of messages in ad-hoc networks where the nodes are energy-constrained. The routing objective is to maximize the total number of messages ...
Koushik Kar, Murali S. Kodialam, T. V. Lakshman, L...
MCS
2009
Springer
15 years 11 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
15 years 8 months ago
Blind reconstruction of sparse images with unknown point spread function
We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particu...
Kyle Herrity, Raviv Raich, Alfred O. Hero III
SIAMCOMP
2008
140views more  SIAMCOMP 2008»
15 years 6 months ago
The Forgetron: A Kernel-Based Perceptron on a Budget
Abstract. The Perceptron algorithm, despite its simplicity, often performs well in online classification tasks. The Perceptron becomes especially effective when it is used in conju...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer