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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
15 years 11 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
14 years 11 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
CVPR
2007
IEEE
16 years 9 days ago
Principal Curvature-Based Region Detector for Object Recognition
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...
Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas ...
JNCA
2007
75views more  JNCA 2007»
14 years 10 months ago
Stateful DDoS attacks and targeted filtering
The goal of a DDoS (distributed denial of service) attack is to completely tie up certain resources so that legitimate users are not able to access a service. It has long been an ...
Shigang Chen, Yong Tang, Wenliang Du
SADM
2010
141views more  SADM 2010»
14 years 5 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman