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TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
PAMI
2006
192views more  PAMI 2006»
13 years 8 months ago
Building Models of Animals from Video
This paper argues that tracking, object detection, and model-building are all similar activities. We describe a fully automatic system that builds 2D articulated models known as pi...
Deva Ramanan, David A. Forsyth, Kobus Barnard
ICIP
2010
IEEE
13 years 6 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
AHSWN
2010
177views more  AHSWN 2010»
13 years 8 months ago
Dynamic Point Coverage Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach
One way to prolong the lifetime of a wireless sensor network is to schedule the active times of sensor nodes, so that a node is active only when it is really needed. In the dynami...
Mehdi Esnaashari, Mohammad Reza Meybodi
ADMA
2009
Springer
246views Data Mining» more  ADMA 2009»
14 years 3 months ago
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
Yan Gao, Ming Yang, Alok N. Choudhary