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126
Voted
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 4 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
140
Voted
CHI
2008
ACM
16 years 4 months ago
Articulating common ground in cooperative work: content and process
We study the development of common ground in an emergency management planning task. Twelve three-person multi-role teams performed the task with a paper prototype in a controlled ...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
123
Voted
ICSE
2003
IEEE-ACM
16 years 3 months ago
Requirements Discovery during the Testing of Safety-Critical Software
This paper describes the role of requirements discovery during the testing of a safety-critical software system. Analysis of problem reports generated by the integration and syste...
Robyn R. Lutz, Ines Carmen Mikulski
105
Voted
ICSE
2008
IEEE-ACM
16 years 3 months ago
3rd international workshop on advances and applications of problem frames
Central to the problem frames approach is the distinction of three different descriptions: requirements R, domain assumptions W and specifications S, tied together with the socall...
Thein Than Tun, Jon G. Hall, Lucia Rapanotti, Karl...
133
Voted
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
16 years 27 days ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen