This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
The goal of this paper is to illustrate how frameworks and patterns address complexities that arise in the design and implementation of high-performance distributed software syste...
In this paper, we introduce a new approach for content-based similarity search for brain images. Based on the keyblock representation, our framework employs the Principal Componen...
Object-oriented frameworks are an established tool for domain-specific reuse. Many framework design patterns and development processes have been documented, typically reverse engin...
David Parsons, Awais Rashid, Andreas Speck, Alexan...