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...
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...
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...
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, ...
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 ...