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The major contributions of the work as follows: (1) preparation of muzzle point image database, which are not publically available, (2) extraction of the salient set of texture features and representation of muzzle point image of cattle using the deep learning based convolution neural network, deep belief neural network proposed approaches.

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These representations are not photographic copies or visual images but are more like schematic blueprints that emphasize the arrangement of a set of salient elements, which supply the schema with distinctiveness and differentiate it from similar events.

Facial landmarks are a set of salient points, usually located on the corners, tips or mid points of the facial components.

Finite element analysis is used only to compute a discrete set of salient circuit parameters, with all other analysis and design computations performed using the networks.

Other parameters characterizing a conversation at a given point include the domain of discourse, a set of salient perceptible objects, standards of precision, time, world or situation, speaker, and addressee.

Such a model is described by a set of salient postures ω m, the set of actions A l to be analyzed, transition probabilities a i,j,l from one posture to another for each action A l., transition probabilities of all actions b i,j, and observations emission probabilities p(x/ω m ) for each salient posture ω m.

The segmentation system creates an HS on the pixels of the input image and an undirected grid graph having hexagons as vertices, and uses this graph in order to produce a set of salient objects contained in the image.

Different from the existing summarization approaches centered on sentence ranking and clustering, our approach discovers and extracts salient topics from a set of online reviews and further ranks these topics.

With the additional depth information, RGB-D co-saliency detection, which is an emerging and interesting issue in saliency detection, aims to discover the common salient objects in a set of RGB-D images [11].

In this image, an observer can plainly see landscape details such as fences, trees, roads, etc. Capturing this same image in the long-wave infrared (i.e., thermal) spectrum provides a different set of salient features (Fig. 1 b).

In other words, Profile HMMs are stochastic models which nicely capture salient features of a set of multiply aligned sequences.

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