Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
There is a critical need to design and develop tools tract away the fundamental complexity of XML based Web services specifications and toolkits, and provide an elegant, intuitive...
Chaitali Gupta, Rajdeep Bhowmik, Michael R. Head, ...
By constructing local extensions to SNOMED we aim to enrich existing medical and related data stores, simplify the expression of complex queries, and establish a foundation for se...
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...