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Thus, use of collaborative filtering approaches could be easily adopted.
Reddy in [60] designed an efficient spectrum allocation using CBR and collaborative filtering approaches.
Pure collaborative filtering approaches take a matrix of given user item ratings as the only input.
In this section, we consider several existing filtering approaches and modify them for our need.
Here we can observe quite significant benefit for the joint time and frequency domain filtering approaches.
Stereo data also found to be used in linear filtering approaches.
Though collaborative filtering approaches achieves great success, there are some shortcomings.
The competitive edge will be with services that support multiple discovery methods, multiple filtering approaches, have flexibility, and support multiple mobile platforms.
This paper demonstrates that microphone array signal processing can be implemented by using adaptive model-based filtering approaches.
Further, the results reveal that the method performs better than the existing state-of-the-art filtering approaches.
In particular, different reduced-rank filtering approaches have been proposed, often based on the concept of truncated polynomial expansion (TPE).
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