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CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
17 years 16 days ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
174
Voted
SIGGRAPH
1999
ACM
15 years 9 months ago
Shape Transformation Using Variational Implicit Functions
Traditionally, shape transformation using implicit functions is performed in two distinct steps: 1) creating two implicit functions, and 2) interpolating between these two functio...
Greg Turk, James F. O'Brien
WINET
2010
153views more  WINET 2010»
15 years 3 months ago
Data aggregation in sensor networks using learning automata
One way to reduce energy consumption in wireless sensor networks is to reduce the number of packets being transmitted in the network. As sensor networks are usually deployed with a...
Mehdi Esnaashari, Mohammad Reza Meybodi
ICML
2009
IEEE
16 years 5 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
HIPEAC
2009
Springer
15 years 12 months ago
Hybrid Super/Subthreshold Design of a Low Power Scalable-Throughput FFT Architecture
In this article, we present a parallel implementation of a 1024 point Fast Fourier Transform (FFT) operating with a subthreshold supply voltage, which is below the voltage that tur...
Michael B. Henry, Leyla Nazhandali