This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
This research presents a novel approach to solve m-machine no-wait flowshop scheduling problem. A continuous flowshop problem with total flowtime as criterion is considered appl...
This poster session examines a probabilistic approach to distributed information retrieval using a Logistic Regression algorithm for estimation of collection relevance. The algori...
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to d...
Yun-Sik Park, Ji-Hyun Song, Sang-Ick Kang, Woojung...