We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationship...
: In this paper we explain how we have integrated the functionalities of a constraint management system and a temporal data base system to enable a model-based control of systems t...
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Pushdown Systems (PDSs) has become an important paradigm for program analysis. Indeed, recent work has shown a deep connection between inter-procedural dataflow analysis for seque...