Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
Reliable DNA computing requires a large pool of oligonucleotides that do not produce cross-hybridize. In this paper, we present a transformed algorithm to calculate the maximum wei...
Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J....
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
With the proliferation of heterogeneous devices (desktop computers, personal digital assistants, phones), multimedia documents must be played under various constraints (small scre...
In order to retrieve, select and apply design patterns in a tool-supported way, we suggest to construct and document a problemcontext pattern that reflects the essence of the prob...