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The problem of object classification is to associate a given waveform x with an object y.
And then this turns the problem of object segmentation into the problem of energy functional minimization.
In this paper, the problem of object caging and transporting is considered for multiple mobile robots.
This paper addresses the planning problem of object manipulation using wheeled-tip robots considering the wheel object contact positioning error.
In other words, this turns the problem of object segmentation into a problem of energy function minimization.
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded.
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Meinong stated that there was a great deal of interesting and useful information in Twardowski's 1894 study, but he said this with respect to "the whole difficult and important problem of objects" and not exactly in relation to the difference between content and object (1899, §2, 185 [185]).
These algorithmic rules, derived from so called "experts," are brittle and not widely applicable to today's problems of object recognition and dialog systems but they can have value when deductive reasoning, rather than inductive reasoning, is required.
Original formalization of TTL for classifier specialization based on SMC filter: This formalization is inspired from particle filters, mostly used to solve the problems of object tracking and robot localization [22 24].
Our major contribution in this paper concerns the use of the Monte Carlo filter in a context of transfer learning: (1) Original formalization of TTL for classifier specialization based on SMC filter: This formalization is inspired from particle filters, mostly used to solve the problems of object tracking and robot localization [22 24].
The Hibernate library solves the problems of Object-Relational Mapping Java classes to communicate with the database tables, Java data types to SQL data types.
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