Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
The paper presents approaches to the validation of optimizing compilers. The emphasis is on aggressive and architecture-targeted optimizations which try to obtain the highest perf...
Lenore D. Zuck, Amir Pnueli, Yi Fang, Benjamin Gol...
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...