We propose and evaluate a method for the recognition of airborne fungi spores. We suggest a case-based object-recognition method to identify spores in a digital microscopic image. ...
The paper considers making inferences about the underlying true 2-D motion when only evaluations of a local block-based cost function, the mean of absolute or squared differences,...
This paper describes a novel telepresence system which enables users to walk through a photorealistic virtualized environment by actual walking. To realize such a system, a wide-a...
Sei Ikeda, Tomokazu Sato, Masayuki Kanbara, Naokaz...
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate...
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...