Text detection and recognition in video is challenging due to the presence of different types of texts, namely, graphics (video caption), scene (natural text), 2D, 3D, static and ...
Mislabeled examples in the training data can severely affect the performance of supervised classifiers. In this paper, we present an approach to remove any mislabeled examples i...
Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Sh...
Mutual information (MI) based approaches are a popular paradigm for feature selection. Most previous methods have made use of low-dimensional MI quantities that are only effectiv...
Nguyen Xuan Vinh, Shuo Zhou, Jeffrey Chan, James B...
—In this paper, we present multi-font printed Arabic text recognition using hidden Markov models (HMMs). We propose a novel approach to the sliding window technique for feature e...
Online learning is very important for processing sequential data and helps alleviate the computation burden on large scale data as well. Especially, one-pass online learning is to...