We propose a Progressive Email Classifier (PEC) for highspeed classification of message patterns that are commonly associated with unsolicited bulk email (UNBE). PEC is designed t...
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
Our simple fuzzy neural network first thins the set of exemplar input feature vectors and then centers a Gaussian function on each remaining one and saves its associated output la...
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple...