Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
Abstract. Current commercial mobile navigation systems often use a predetermined scale selection schema without considering differences in spatial complexity of locations. To ident...
This paper presents algorithms that make it possible to process XML data that conforms to XML Schema (XSD) in a mainstream object-oriented programming language. These algorithms a...
Global Model Management (GMM) is a model-based approach for managing large sets of interrelated heterogeneous and complex MDE artifacts. Such artifacts are usually represented as ...
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...