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JMLR
2006
169views more  JMLR 2006»
15 years 3 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ICC
2009
IEEE
147views Communications» more  ICC 2009»
15 years 10 months ago
Distributed Quality-Lifetime Maximization in Wireless Video Sensor Networks
—Owing to the availability of low-cost and low-power CMOS cameras, Wireless Video Sensor Networks (WVSN) has recently become a reality. However video encoding is still a costly p...
Eren Gürses, Yuan Lin, Raouf Boutaba
ECML
2004
Springer
15 years 7 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
ECCV
2008
Springer
16 years 5 months ago
Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
We propose a convex framework for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast as one...
Kalin Kolev, Daniel Cremers
123
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ICC
2007
IEEE
164views Communications» more  ICC 2007»
15 years 9 months ago
Communication Limits with Low Precision Analog-to-Digital Conversion at the Receiver
— We examine the Shannon limits of communication systems when the precision of the analog-to-digital conversion (ADC) at the receiver is constrained. ADC is costly and powerhungr...
Jaspreet Singh, Onkar Dabeer, Upamanyu Madhow