Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
We developed and tested a website and public display to connect and sustain carpoolers in the workplace. We arrived at this design through study of traffic congestion and its caus...