Sentence examples for object classification from inspiring English sources

Object classification.

This hypothesis is tested on object classification accuracy.

Object classification in general is a challenging field.

However, the same cannot be said about object classification.

We apply MLDL for face recognition, object classification and digit classification tasks.

Recently, convolutional neural network (CNN) has achieved impressive results in object classification tasks.

Applications on face recognition and object classification demonstrate that differentiated representation is very promising.

With this model we can demonstrate object classification and the learning of new object representations.

WSN can be applied in many fields including remote environmental monitoring and object classification.

Fig. 1 Design frame diagram of small sample target object classification algorithm.

Further the proposed object classification algorithm's performance parameters are studied in NS2.