Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we propos...
We present an algorithm that minimizes the expected cost of indirect binary search for data with non-constant access costs, such as disk data. Indirect binary search means that sor...
Eduardo F. Barbosa, Gonzalo Navarro, Ricardo A. Ba...
The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing. Material and Methods: Association rules method is...
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...
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...