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GRID
2000
Springer
15 years 6 months ago
Architectural Models for Resource Management in the Grid
: The concept of coupling geographically distributed (high-end) resources for solving large-scale problems is becoming increasingly popular, forming what is popularly called grid c...
Rajkumar Buyya, Steve J. Chapin, David C. DiNucci
129
Voted
NIPS
2007
15 years 4 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
CVPR
2011
IEEE
14 years 11 months ago
Shared Parts for Deformable Part-based Models
The deformable part-based model (DPM) proposed by Felzenszwalb et al. has demonstrated state-of-the-art results in object localization. The model offers a high degree of learnt in...
Patrick Ott
ICFHR
2010
155views Biometrics» more  ICFHR 2010»
14 years 10 months ago
A Hybrid Model for Recognition of Online Handwriting in Indian Scripts
We present a complete online handwritten character recognition system for Indian languages that handles the ambiguities in segmentation as well as recognition of the strokes. The ...
Amit Arora, Anoop M. Namboodiri
138
Voted
JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra