Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
We present a new framework for information cue rendering on 2D vibrotactile arrays, and we describe an experiment that investigated the feasibility of our approach. The methods ar...
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...