This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Aiming at manipulating clothes, a model-driven method of estimating the state of hanging clothes is proposed. We suppose a system consisting of two manipulators and a camera. The ...
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for perf...
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...