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» Shapes as empirical distributions
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CEC
2011
IEEE
13 years 9 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 2 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
14 years 11 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
15 years 11 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
14 years 11 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