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Tracking of an object using a single feature or a technique often fails to achieve greater accuracy.
The proposed method can make use of different representations simultaneously (i.e., multiview learning) to obtain a better prediction performance than using a single feature representation (i.e., single-view learning) or a subset of features, with the advantage of automatic feature selections.
The experiments include using a single feature by non-optimal Gabor filters, using a single feature by optimized Gabor filters, and using a fusion.
The motivation behind MKL is to combine or fuse multiple kernels or features rather than using a single feature representation to make prediction, with expectation that such combination leads to potential gain in performance.
In [34], we have shown that using two features, namely, received power and SINR from the MS, the classification accuracy is much better than using a single feature such as SINR [6, 35 37].
Such environments are usually uncontrolled in terms of lighting and color quality, as well as human expressivity and movement; as a result, using a single feature extraction technique may fail in some parts of a video sequence, while performing well in others.
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Unfortunately, in location verification approaches, almost all classification methods use a single feature, which is RTT.
(1) This method used a single feature extraction strategy.
Each of those rules only uses a single feature and thus cannot deal with the mutual relationship between h and w directly.
In earlier taxonomic systems, experts used a single characteristic feature for their classifications, choosing among shell morphology, hinge type or gill type.
(2) SVM c lassifier with structured features Within this framework, each instance is represented using a single structured feature computed from the parse tree of the sentence containing the event pair.
More suggestions(15)
using a single aspect
using a single characteristic
using a single trait
uses a single feature
use a single feature
using a single marker
using a single technique
using a single crystal
using a single treatment
using a single sample
using a single probe
using a single population
using a single stage
using a single source
using a single mode
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