The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
Byte-code based languages are slowly becoming adopted in embedded domains because of improved security and portability. Another potential reason for their adoption is the reputati...
In this paper, we address the problem of the efficient exploration of the architectural design space for parameterized systems. Since the design space is multi-objective, our aim ...
Gianluca Palermo, Cristina Silvano, S. Valsecchi, ...
With the proliferation of mobile computing, the ability to index efficiently the movements of mobile objects becomes important. Objects are typically seen as moving in two-dimensi...
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...