Sentence examples for discriminative function from inspiring English sources

To train these weights discriminatively with the MCE criterion for speaker identification, we define a discriminative function for each speaker which represents the log-likelihood of the feature vector sequence X given model Λ j of speaker j as g j X, Φ W = ∑ m = 1 M w jm ∑ ∀ x t, x t ∈ m log P x t | Λ j, (7).

The SVM discriminative function is given by f ( X ) = ∑ l = 1 L a l k ( X, X l ) + b, (9).

In both methods, the estimation of individual genuine and imposter densities is bypassed and the discriminative function is trained directly.

The CT system seems, unlike that for cutaneous pain, to be a genuine component of the touch system; on the other hand, the CT system also doesn't appear to have any direct discriminative function.

However, we used a simple 1-best discriminative function, thereby avoiding the error counting, which it is better than applying the phone targets to the network output layer as is usually done.

where f E,F is the prediction score, which is the output of an SVM discriminative function for event E trained using feature type F ∈ {SIFT-Har, SIFT-Hes, SURF, HOG, RGB-SIFT, MFCC, STIP, CC-DSTIP}, and β E,F is the fusion weight for E and F. We decide β E,F by twofold cross validation using training data.

These results indicate common sensory discriminative functions in both groups that occur with lower objective stimulus intensities for FM patients.

The posterior insula was shown to correlate with sensory discriminative functions, whereas the anterior insula is integral in emotional functions [ 9].

Our model is a extension of the iSBM (Kemp et al., 2006; Xu et al., 2006) to incorporate spatial relations between entities, inspired by attempts to extend these models with arbitrary discriminative functions (Murphy, 2012).

The outcome-specific Pavlovian to instrumental transfer (PIT) procedure provides an important assay of the discriminative control function of a stimulus, i.e. its ability to prime instrumental responding for the reinforcer signalled by the stimulus 8, 9.

In the LSDSR, a discriminative loss function based on sparse coefficients is imposed on the locality-sensitive sparse representation, which makes the optimized dictionary for sparse representation be discriminative.