Probabilistic latent semantic analysis is enhanced with long distance bigram models in order to improve word clustering. The long distance bigram probabilities and the interpolate...
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...