Tin Kam Ho

Decision combination in multiple classifier systems

A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of ar...

Building projectable classifiers of arbitrary complexity

Conventional methods for classifier design often suffer from having two conflicting goals-to develop arbitrarily complex decision boundaries to suit a given problem, and at the ...

Pattern Classification with Compact Distribution Maps

The random subspace method for constructing decision forests

Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...