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These two cancelable templates are fused using the feature level fusion [20,36] of modified minutiae features.
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Transcript abundance was determined using the feature counts program to estimate the level of transcription for each gene, and the number of reads that mapped within each annotated coding sequence (CDS) was determined.
By analysing the recognition results, the different bands are fused using a feature level fusion scheme to improve recognition accuracy.
When taking photos using Camera+, I would recommend using the "Horizon Level" feature because it helps prevent crooked shots.
Although the size of the new training set A l is the same, the new feature vectors may contain more information about the underlying classes because they are obtained using the higher level features, i.e., the basis functions, learned from a much bigger pool of data.
Blum told me that whilst most sites simply use the features offered, a number of high level users have implemented the API on their sites, delivering a custom solution.
application of the methods of [12] and [26], using the low-level features of Sections 3 and 4 instead of the ones originally proposed in [12] and [26].
Both cancelable templates are then merged together using concatenation-based feature level fusion technique [20] to generate a combined template.
For the n-gram approach, we referred to the results of the representative work[8], in which the same two-way pitch accent detection and binary boundary detection are implemented on the BURSC dataset using the syllable-level acoustic features of F0, timing cues, and energy.
Our model emphasizes four aspects that are important in biological vision: determining task-relevance of an entity, biasing attention for the low-level visual features of desired targets, recognizing these targets using the same low-level features, and incrementally building a visual map of task-relevance at every scene location.
Wang et al. [42] proposed to enhance the segmentation in the RGB and YCgCb color spaces by analyzing various textural features, extracted using the gray-level co-occurrence matrix.
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