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SIAMMAX
2010
145views more  SIAMMAX 2010»
14 years 10 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
157
Voted
CVPR
2007
IEEE
16 years 5 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
15 years 8 months 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»
15 years 3 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
15 years 8 months 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