three-dimensionality

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three-dimensionality

1. The quality of having three dimensions: height, width, and depth. I created a scale model because I think my vision for the building is best expressed by something with three-dimensionality.
2. The quality of being fully realized or developed. The best film is one that has a clear artistic vision, compelling plot, and characters with three-dimensionality.
References in periodicals archive ?
In future better wavelet transforms will be used for addressing curse of dimensionality reduction.
7), the features extracted in different positions can be merged to reduce feature dimensionality (As shown in Fig.
Dimensionality reduction techniques are often used to project high-dimensional data into a low-dimensional, e.
Dimensionality reduction is a common technique for analysis of high dimensional data.
Performances of the different classifiers are measured before and after dimensionality reduction are depicted in the table 1.
TLDA [15] and TLLDA [16] are popular tensor dimensionality reduction methods on LDA and have been successfully applied to face recognition.
PCA assumes that data can be characterized with coordinates in linear subspaces with lower dimensionality.
the vector space model), and then the combination of the three dimensionality reduction techniques and Multidimensional Scaling, used to bring these representations to a 2-dimensional visualization.
When users believe that data is highly redundant or irrelevant, but in unknown ways, they often use dimensionality reduction.
This paper evaluates a central claim for this assessment--namely, that it is unidimensional--and the implications of the dimensionality of an assessment for practice.
Taking the evolution of the chalkboard light-years ahead of simple dry-erase whiteboards, the Interactive Panaboard UB-8325 electronic whiteboard from Panasonic adds a new dimensionality to meetings, presentations, seminars and training.
As an option for efficiently detecting multiple genes and their interaction effects, a multifactor dimensionality reduction (MDR) method was introduced (Ritchie et al.
His argument is that 'confidence in Weber is well placed but can only be justified by a far closer engagement in the full dimensionality of Weber's disciplinary range'.
In addition, SSS adapts itself to the dimensionality of the metric space we are working with, without being necessary to specify in advance the number of pivots to use.