Sentence examples for categorical recognition from inspiring English sources

It makes sense that a more categorical recognition of that source material felt due.

We use the weighted average (WA) and unweighted average (UA) recall metrics, as defined in [17], to evaluate binary or categorical recognition performance.

For C-class, categorical recognition, the top layer is a softmax layer and the output is computed via Equation 2. Typically, an FNN is initialized with random weights before using backpropagation to perform fine-tuning.

In order to perform binary or multi-class, categorical emotion recognition, a softmax regression-based classifier is trained over the posterior topics h inferred from the training examples.

ER40 (The Penn Emotional Recognition Test)[ 93] is a computerized test to assess categorical identification of facial emotions.

The low-level social cognitive assessments are: ER40 (The Penn Emotional Recognition Test)[ 93 ] is a computerized test to assess categorical identification of facial emotions.

It requires a categorical adjustment, a recognition that a tournament is merely a process of narrowing down a pool of athletes to the one who beats the rest, rather than an expression of the Form of the Good.

Attractor networks have been proposed to account for numerous cerebral functions with discrete end values, including spatial orientation, sensory pattern recognition, categorical perceptual judgments, and execution of movement trajectories (Lukashin et al. 1996; Wyttenbach et al. 1996; Bartlett and Sejnowski 1998; Fdez Galan et al. 2004; Wills et al. 2005; Wong and Wang 2006).

The proposed features are evaluated for the recognition of categorical or continuous emotional attributes via within and cross-corpus experiments conducted over acted and spontaneous expressions.

Recognition that such evolutionary explanations are needed in addition to proximate explanations of mechanisms is just now dawning, along with recognition that categorical diagnoses that take no cognizance of environmental factors are fundamentally mistaken (Nesse and Jackson 2006; Wakefield and Horwitz 2007).

The program will work over a three-month period to produce a virtual gallery of past and present works through four categorical processes to produce the matches: object recognition, facial recognition, composition recognition, and context recognition.