In this paper we propose a novel out-of-core technique for progressive lossless compression and selective decompression of 3D triangle meshes larger than main memory. Most existin...
Zhiyan Du, Pavel Jaromersky, Yi-Jen Chiang, Nasir ...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Electrical power systems play a critical role in spacecraft and aircraft, and they exhibit a rich variety of failure modes. This paper discusses electrical power system fault diag...
Ole J. Mengshoel, Adnan Darwiche, Keith Cascio, Ma...
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...