We present a novel approach to address the representation issue and the matching issue in face recognition (verification). Firstly, our approach encodes the micro-structures of t...
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
We describe an optimization method for combinational and sequential logic networks, with emphasis on scalability and the scope of optimization. The proposed resynthesis (a) is cap...
Alan Mishchenko, Robert K. Brayton, Jie-Hong Rolan...
—This paper describes a waveform compression technique suitable for the efficient utilization, storage and interchange of the emerging current source model (CSM) based cell libra...
Safar Hatami, Peter Feldmann, Soroush Abbaspour, M...