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NIPS
2004
14 years 11 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
CPHYSICS
2008
79views more  CPHYSICS 2008»
14 years 9 months ago
Atmospheric MUons from PArametric formulas: a fast GEnerator for neutrino telescopes (MUPAGE)
Abstract. Neutrino telescopes are opening new opportunities in observational high energy astrophysics. In these detectors, atmospheric muons from primary cosmic ray interactions in...
G. Carminati, M. Bazzotti, A. Margiotta, M. Spurio
ENTCS
2007
114views more  ENTCS 2007»
14 years 9 months ago
Parametric Performance Contracts for Software Components with Concurrent Behaviour
Performance prediction methods for component-based software systems aim at supporting design decisions of software architects during early development stages. With the increased a...
Jens Happe, Heiko Koziolek, Ralf Reussner
PAMI
2012
13 years 5 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
CVPR
2012
IEEE
13 years 5 days ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...