We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
We propose methods for reducing the energy consumed by snoop requests in snoopy bus-based symmetric multiprocessor (SMP) systems. Observing that a large fraction of snoops do not ...
Andreas Moshovos, Gokhan Memik, Babak Falsafi, Alo...
Malleability enables a parallel application’s execution system to split or merge processes modifying granularity. While process migration is widely used to adapt applications to...
Kaoutar El Maghraoui, Travis J. Desell, Boleslaw K...