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EMSOFT
2006
Springer
15 years 9 months ago
Incremental schedulability analysis of hierarchical real-time components
Embedded systems are complex as a whole but consist of smaller independent modules minimally interacting with each other. This structure makes embedded systems amenable to composi...
Arvind Easwaran, Insik Shin, Oleg Sokolsky, Insup ...
ICIP
2010
IEEE
15 years 3 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
TSMC
2010
15 years 12 days ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
MICRO
2007
IEEE
79views Hardware» more  MICRO 2007»
16 years 10 hour ago
Self-calibrating Online Wearout Detection
Technology scaling, characterized by decreasing feature size, thinning gate oxide, and non-ideal voltage scaling, will become a major hindrance to microprocessor reliability in fu...
Jason A. Blome, Shuguang Feng, Shantanu Gupta, Sco...