Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
In this paper, we propose a novel postprocessing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domai...
This paper presents a new approach to estimate “universal” phoneme posterior probabilities for mixed language speech recognition. More specifically, we propose a new theoreti...
In this paper we develop an algorithm for action recognition and localization in videos. The algorithm uses a figurecentric visual word representation. Different from previous ap...
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...