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→Analyzing 3D objects in cluttered images
===Analyzing 3D objects in cluttered images===
===Analyzing 3D objects in cluttered images===
Speaker: [http://www.umiacs.umd.edu/~sshekha/ Sumit Shekhar] : April 18, 2013
Speaker: [http://www.umiacs.umd.edu/~sshekha/ Sumit Shekhar] : April 18, 2013
Data-driven dictionaries have produced state-of-the-art results in various classification tasks. However, when the target data has a different distribution than the source data, the learned sparse representation may not be optimal. In this talk, I will discuss a technique to learn a joint dictionary which can work well for the target data as well, and present some results on face and object recognition.
Data-driven dictionaries have produced state-of-the-art results in various classification tasks. However, when the target data has a different distribution than the source data, the learned sparse representation may not be optimal. In this talk, I will discuss a technique to learn a joint dictionary which can work well for the target data as well, and present some results on face and object recognition.
===Analyzing 3D objects in cluttered images===
===Analyzing 3D objects in cluttered images===
