In recent years, there have been significant strides in increasing quality of range from stereo using global techniques such as energy minimization. These methods cannot yet achie...
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
Abstract. This paper examines a conflation method based on the N-grams approach and evaluates its performance relative to the results achieved by other techniques such as Porter a...
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Motion estimation constitutes a significant computational part of video standards such as MPEG2, MPEG4, and H264/AVC. This paper evaluates the performance of a motion estimation a...
Jan-Willem van de Waerdt, Gerrit A. Slavenburg, Je...