Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Using Linux for high-performance applications on the compute nodes of IBM Blue Gene/P is challenging because of TLB misses and difficulties with programming the network DMA engine...
Kazutomo Yoshii, Kamil Iskra, Harish Naik, Pete Be...
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
For the purposes of tool development, computer languages are usually described using context-free grammars with annotations such as semantic actions or pretty-printing instructions...