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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 3 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
CVPR
2005
IEEE
14 years 10 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
APSEC
2007
IEEE
13 years 10 months ago
An Approach to Probabilistic Effort Estimation for Military Avionics Software Maintenance by Considering Structural Characterist
The needs of software maintenance and the importance of maintenance project management increase rapidly in the military avionics industry. Although few previous studies related to...
Tae-Hoon Song, Kyung-A Yoon, Doo-Hwan Bae
AIMS
2010
Springer
14 years 18 days ago
Probabilistic Fault Diagnosis in the MAGNETO Autonomic Control Loop
Management of outer edge domains is a big challenge for service providers due to the diversity, heterogeneity and large amount of such networks, together with limited visibility on...
Pablo Arozarena, Raquel Toribio, Jesse Kielthy, Ke...
NIPS
2007
13 years 10 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong