Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
In this paper we describe an image-based approach to finding location-based information from camera-equipped mobile devices. We introduce a point-by-photograph paradigm, where user...
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
In this paper we present an approach for separating two transparent layers in images and video sequences. Given two initial unknown physical mixtures, I1 and I2, of real scene laye...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...