Present speech recognition systems are becoming more complex due to technology advances, optimizations and special requirements such as small computation and memory footprints. Pro...
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
We present an online system for recognizing handwritten mathematical matrices in the context of an interactive computational tool called MathPaper. Automatic segmentation and reco...
Chuanjun Li, Robert C. Zeleznik, Timothy Miller, J...
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Presented here is a computational system which uses free−space optical interconnect (FSOI) communication between processing elements to perform distributed calculations. Technolo...
Jeremy Ekman, Christoph Berger, Fouad E. Kiamilev,...