Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Transformations using retiming and resynthesis operations are the most important and practical (if not the only) techniques used in optimizing synchronous hardware systems. Althoug...
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
We consider a general approach to the hoary problem of (im)proving circuit lower bounds. We define notions of hardness condensing and hardness extraction, in analogy to the corres...
Both the configuration of facial features and the timing of facial actions are important to emotion and communication. Previous literature has focused on the former. We developed ...
Jeffrey F. Cohn, Lawrence Ian Reed, Tsuyoshi Moriy...