Sentence examples for less dimensions from inspiring English sources
Dimension reduction refers to the process of converting a dataset of high dimensions, into dataset with less dimensions.
Moreover, the tradeoff between accuracy and generality of the model can be tuned using more or less dimensions for building the PCA space representation of human postures.
Gao et al. [24] proposed two compact B-CNN methods with the same discriminative power as the full bilinear representation with much less dimensions.
Firstly, this optimality condition permits to replace the many-dimensional minimization problem by the sequence of problems of less dimensions, i.e. the optimization problem under investigation, for each discrete time is reduced to minimization of the function of r variables, where r is the dimension of the control vector.
Note that the optimality condition (9) allows one to replace the many-dimensional minimization problem by a sequence of problems of less dimensions, and its application is convenient when its test is performed sequentially with respect to θ: (theta=t_{1}-1,t_{1}-2,ldots,t_{0}) (see Example 1).
Given the administrative burden on patients, less dimensions and items could increase feasibility.
Portia, the faux arbiter of justice, preaching mercy, practicing the politics of guile, and her compatriots are despicable, with less dimension, but more charm.
The sound was slightly more detailed than with my preferred in-ear headphones, the $130 Westone UM1, but it had less dimension and sounded less natural than with my favorite, the over-the-ear $100 Grado SR80i headphones.
To arrive at this result, Jensen, Karch, and Sonner use the so-called holographic principle, a concept invented by Maldacena that states that a quantum theory with gravity in a given space is equivalent to a quantum theory without gravity in a space with one less dimension that makes up the original space's boundary.
In fact, he told me he believes that it will leapfrog autonomous cars sometime in the next few years, mostly because when you take to the skies, there are actually fewer problems to solve in terms of building a self-piloting system than when you're locked to the ground, which naturally means you're having to deal with pedestrians, other cars and more, with one less dimension to navigate.
Notice that H k can be singular (e.g., when the cepstral features have less dimension than the log-spectral features), in which case a k-dependent small fraction of the identity matrix is added to regularize H k, so a unique solution of (11) is found.
