We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core re...
Sung-Eui Yoon, Brian Salomon, Russell Gayle, Dines...
We present an improvement of the SAT-based Unbounded Model Checking (UMC) algorithm. UMC, a symbolic approach introduced in [7], uses propositional formulas in conjunctive normal ...
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Domain-specific modeling (DSM) assists subject matter experts in describing the essential characteristics of a problem in their domain. Various software artifacts can be generated...
Faizan Javed, Marjan Mernik, Jeff Gray, Barrett R....