In video features-oriented sparse representation, the features from the same category video could not achieve similar coding results.
In first stage, a preprocessing subsystem is realized for obtaining unique features from the same group of patterns.
This error tolerance is essentially required to handle inherent variations in palmprint (biometric) features from the same user during decryption.
ℓ2,1-norm is based on the postulate that the features from the same class will have a common sparsity pattern in the feature space.
Hence, when Section 2.1.1 explains the co-occurrence of features, then it flows as " " multiple features from the same vector CoLBP.
Local context: Lemma, POS and chunk features, extracted from the windows {-1, 0}, {-2, -1}, {0, 1}, {-1, 1} and {-3, -1} around the current token; Conjunctions of lemma and POS features, from the same windows.
The experiment finds that waveform features from the same gesture differ from one person to another [21], so we only need to train the sample data collected from different people in order to recognize the gestures from different people.
Lemma, POS and chunk features, extracted from the windows {-1, 0}, {-2, -1}, {0, 1}, {-1, 1} and {-3, -1} around the current token; Conjunctions of lemma and POS features, from the same windows.
