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SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 2 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
CVPR
2007
IEEE
14 years 9 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
VISUALIZATION
2003
IEEE
14 years 27 days ago
Planet-Sized Batched Dynamic Adaptive Meshes (P-BDAM)
We describe an efficient technique for out-of-core management and interactive rendering of planet sized textured terrain surfaces. The technique, called P-Batched Dynamic Adaptiv...
Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, F...
BC
2008
86views more  BC 2008»
13 years 7 months ago
Firing patterns in the adaptive exponential integrate-and-fire model
For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-eq...
Richard Naud, Nicolas Marcille, Claudia Clopath, W...
MIDDLEWARE
2004
Springer
14 years 29 days ago
Adaptive resource discovery for ubiquitous computing
The terms pervasive and ubiquitous computing are used to describe a smart space populated by hundreds of intelligent devices that are embedded in their surroundings. Characteristi...
Rae Harbird, Stephen Hailes, Cecilia Mascolo