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HIS
2004
13 years 10 months ago
An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
Chih-Chin Lai, Ming-Chi Tsai
ECCV
2010
Springer
14 years 1 months ago
Detecting ground shadows in outdoor consumer photographs
Detecting shadows from images can significantly improve the performance of several vision tasks such as object detection and tracking. Recent approaches have mainly used illuminat...
MICCAI
2009
Springer
14 years 4 months ago
Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images
Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prognosis. Due to its indistinct boundaries, manual detection and ...
Yimo Tao, Le Lu, Maneesh Dewan, Albert Y. Chen, Ja...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 6 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
RAID
2009
Springer
14 years 3 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...