Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Interpretation interpretation is a theory of effective abstraction and/or approximation of discrete mathematical structures as found in the semantics of programming languages, mod...
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Compilers use register coalescing to avoid generating code for copy instructions. For architectures with register aliasing such as x86, Smith, Ramsey, and Holloway (2004) presented...
Ray–based representations can model complex light transport but are limited in modeling diffraction effects that require the simulation of wavefront propagation. This paper prov...
Se Baek Oh, Sriram Kashyap, Rohit Garg, Sharat Cha...