Sentence examples for section descriptor from inspiring English sources

After the algorithms described above split the document's text into sections and sentences, each sentence is passed to the NLP module with context information including the document type and the section descriptor.

In Section "Feature descriptor comparison" we will complete these observations by comparing our descriptor to the Spin Images introduced by Johnson [30] and by demonstrating its superior performance.

The HSAB parameters of softness and hardness describe the electronic character of a given toxicant, and as discussed in the next section, such descriptors can be used in conjunction with parameters of reactivity to determine electrophilic strength and hence toxic potency.

Unlike topological descriptors (see section 2.5), the WHIM descriptors are able to distinguish different conformations of the same molecule and different geometric isomers.

Apart from a performance comparison of the broken shape descriptors (Section 4.5), we have also investigated the effect of different normalisation schemes (Section 4.3) and the number of descriptors needed for similarity-based retrieval (Section 4.4).

The features used were the Morgan fingerprints as described in the "Descriptors" section.

The two sets of Fourier descriptors (Section 5.1.1) are entirely included, leading to the two sets of features.

As mentioned in section 2.1, special descriptors for mixtures were constructed based on those computed for the individual compounds constituting the mixture.

The SMF descriptors we used represent only terminal groups (See the section devoted to the descriptor types).

Since each image frame of a video activity is represented by a covariance descriptor (see Section 3.2), a most straightforward way would be to directly treat the video activity as a bag of covariance descriptors.

We enumerate them here since they are necessary for the development of the shape descriptor in Section 3.3: C.1 Affine precision: For any affine function (f:mathbb {R}^{2}to mathbb {R}^{D}), (f=sum limits _{i=1}^{N}f v_{i})varphi _{i}^{V} ) for v i ∈V and where (mathbb {R}^{D}) is the dimension of the color space.