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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CN
2008
280views more  CN 2008»
13 years 7 months ago
Joint transmit power and physical carrier sensing adaptation based on loss differentiation for high density IEEE 802.11 WLAN
In high density (HD) IEEE 802.11 WLAN, packet loss can occur due to co-channel interference (asynchronous interference) or collisions (synchronous interference). In order to effec...
Hui Ma, Jing Zhu, Sumit Roy, Soo Young Shin
ICC
2007
IEEE
119views Communications» more  ICC 2007»
14 years 1 months ago
On Channel State Inference and Prediction Using Observable Variables in 802.11b Network
—Performance of cross-layer protocols that recommend the relay of corrupted packets to higher layers can be improved significantly by accurately inferring/predicting the bit erro...
Shirish S. Karande, Syed A. Khayam, Yongju Cho, Ki...
ICML
2008
IEEE
14 years 8 months ago
Bolasso: model consistent Lasso estimation through the bootstrap
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...
Francis R. Bach
IPMI
2007
Springer
14 years 8 months ago
Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs
The interest in registering a set of images has quickly risen in the field of medical image analysis. Mutual information (MI) based methods are well-established for pairwise regist...
Bing Ma, Ramkrishnan Narayanan, Hyunjin Park, Alfr...