Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Categorisation of objects into classes is currently supported by (at least) two ‘orthogonal’ methods. In logic-based approaches, classifications are defined through ontologi...
Mikhail Sheremet, Dmitry Tishkovsky, Frank Wolter,...
Syllable-to-word (STW) conversion is important in Chinese phonetic input methods and speech recognition. There are two major problems in the STW conversion: (1) resolving the ambi...
— The ability of mobile robots to generate feasible trajectories online is an important requirement for their autonomous operation in unstructured environments. Many path generat...
In this paper I outline my conception of the epistemology of science, by reference to my published papers, showing how the ideas presented there fit together. In particular I disc...