— Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. I...
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...
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 ...
—Complex SQL queries are widely used today, but it is rather difficult to check if a complex query has been written correctly. Formal verification based on comparing a specifi...
Shetal Shah, S. Sudarshan, Suhas Kajbaje, Sandeep ...
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...