We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not exp...
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Advanced human computer interaction requires automatic reading of human face in order to make the computer interact with human in the same way as human-to-human communication. We ...
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...