Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
This paper studies the equilibrium property and algorithmic complexity of the exchange market equilibrium problem with concave piece-wise linear functions, which include linear an...
This paper presents a novel method for the estimation of beat interval from audio files. As a first step, a feature extracted from the waveform is used to identify note onsets. T...
Reliable DNA computing requires a large pool of oligonucleotides that do not produce cross-hybridize. In this paper, we present a transformed algorithm to calculate the maximum wei...
Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J....
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veri...