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When practicing for this section, try answering data representation sections first before answering more complex questions in the practice test.
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'Proposed invariant representation' section develops the proposed invariant representation in detail.
This problem is discussed in 'Illumination estimation and invariant representation' section.
Based on the cost-efficiency one-dimensional representation (Section 4.3), we considered four evaluation classes as follows: All strenghts.
'Test of invariant representation' section tests the invariant properties for the captured spectral images of several sample objects.
Such co-occurrence relationships are efficiently uncovered via clustering over the Bag-of-Iconics representation (Section 4.1).
The proposed GESR-LR method and the corresponding solution are described in "Combined graph embedding and sparse regression with structure low-rank representation" section.
It calculates simulation traces numerically based on the formulae discussed in "From a conceptual representation to a numerical representation" section, and in particular by means of the difference equations.
The CB-FMT key elements are described in Section 2. These include the derivation of an efficient frequency domain implementation starting from the time domain signal representation (Section 2.1).
The specific contributions of this paper can be summarized as follows: The CB-FMT key elements are described in Section 2. These include the derivation of an efficient frequency domain implementation starting from the time domain signal representation (Section 2.1).
This procedure of learning the path in a provenance graph of activity or event nodes has been described in "Rationale for application of Q Learning algorithm in this trust based representation" section.
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