Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
We developed a user interface that organizes Web search results into hierarchical categories. Text classification algorithms were used to automatically classify arbitrary search r...
We present a new VLIW core as a successor to the TriMedia TM1000. The processor is targeted for embedded use in media-processing devices like DTVs and set-top boxes. Intended as a...
Jos T. J. van Eijndhoven, Kees A. Vissers, Evert-J...
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...