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» Shapes as empirical distributions
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CEC
2011
IEEE
14 years 1 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
ISCAS
1999
IEEE
72views Hardware» more  ISCAS 1999»
15 years 6 months ago
Shape-based sequential machine analysis
In this paper, the problem of determining if a given sequential specification can be made to fit a predetermined set of shape constraints is explored. Shape constraints are constr...
A. Crews, F. Brewer
BMVC
2000
15 years 3 months ago
Building Temporal Models for Gesture Recognition
This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space...
Richard Bowden, Mansoor Sarhadi
ICIP
2000
IEEE
16 years 3 months ago
A Hierarchical Characterization Scheme for Image Retrieval
* In this paper, we present a study of hierarchically characterizing image content from coarse level to fine level conducted using a series of shape features as a case in point. I...
Liu Wenyin, Tao Wang, HongJiang Zhang
ECIR
2010
Springer
15 years 3 months ago
An Empirical Study of Query Specificity
We analyse the statistical behavior of query-associated quantities in query-logs, namely, the sum and mean of IDF of query terms, otherwise known as query specificity and query mea...
Avi Arampatzis, Jaap Kamps