Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
We propose a novel approach to face identification and verification based on the Error Correcting Output Coding (ECOC) classifier design concept. In the training phase the client s...
Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri ...
This paper presents a self-correcting control unit design using Hamming codes for finite state machine (FSM) state encoding. The adopted technique can correct single-bit errors and...
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...