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» Detecting Co-Derivative Documents in Large Text Collections
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ICASSP
2010
IEEE
13 years 5 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
CHI
2011
ACM
12 years 9 months ago
Twitinfo: aggregating and visualizing microblogs for event exploration
Microblogs are a tremendous repository of user-generated content about world events. However, for people trying to understand events by querying services like Twitter, a chronolog...
Adam Marcus 0002, Michael S. Bernstein, Osama Bada...
ECBS
2004
IEEE
129views Hardware» more  ECBS 2004»
13 years 9 months ago
Using Feature Modeling for Program Comprehension and Software Architecture Recovery
: The available evidence in a legacy software system, which can help in its understanding and recovery of its architecture are not always sufficient. Very often the system's d...
Ilian Pashov, Matthias Riebisch
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 6 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
NAACL
2003
13 years 6 months ago
Evaluating the Evaluation: A Case Study Using the TREC 2002 Question Answering Track
Evaluating competing technologies on a common problem set is a powerful way to improve the state of the art and hasten technology transfer. Yet poorly designed evaluations can was...
Ellen M. Voorhees