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ICML
2009
IEEE
16 years 1 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
RTAS
2009
IEEE
16 years 1 months ago
The System-Level Simplex Architecture for Improved Real-Time Embedded System Safety
Embedded systems in safety-critical environments demand safety guarantees while providing many useful services that are too complex to formally verify or fully test. Existing appl...
Stanley Bak, Deepti K. Chivukula, Olugbemiga Adeku...
DATE
2008
IEEE
143views Hardware» more  DATE 2008»
16 years 1 months ago
Improving Synthesis of Compressor Trees on FPGAs via Integer Linear Programming
Multi-input addition is an important operation for many DSP and video processing applications. On FPGAs, multi-input addition has traditionally been implemented using trees of car...
Hadi Parandeh-Afshar, Philip Brisk, Paolo Ienne
DSN
2008
IEEE
16 years 1 months ago
Improving dependability of network configuration through policy classification
As a network evolves over time, multiple operators modify its configuration, without fully considering what has previously been done. Similar policies are defined more than once, ...
Sihyung Lee, Tina Wong, Hyong S. Kim
ICPR
2008
IEEE
16 years 1 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph