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» Shapes as empirical distributions
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CVPR
2008
IEEE
14 years 11 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
RTAS
2005
IEEE
15 years 3 months ago
A Real-Time Performance Comparison of Distributable Threads and Event Channels
No one middleware communication model completely solves the problem of ensuring schedulability in every DRE system. Furthermore, there have been few studies to date of the trade-o...
Yuanfang Zhang, Bryan Thrall, Stephen Torri, Chris...
ECML
2006
Springer
15 years 1 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
MSS
2010
IEEE
120views Hardware» more  MSS 2010»
14 years 8 months ago
A critique of distributional analysis in the spatial model
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
Craig A. Tovey
ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
15 years 3 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh