University of Cambridge > Talks.cam > Inference Group > Optimizing Similarity Functions in Various Pattern Recognition Problems

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Optimizing Similarity Functions in Various Pattern Recognition Problems

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact David MacKay.

Note unusual time

Machines classify instances by using various similarity functions, such as image-based feature extractors, clustering functions, kernel functions, etc. In real world applications, however, they often work poor. Since they are characterized by a set of parameters, the choice of them hugely affects performance. To solve this parameter optimization problem, in this talk is presented optimization strategies in terms of class separability. First, a Gabor Wavelet Neural Network for facial expression recognition is presented and its optimization method is proposed. Second, an agglomerative clustering technique is presented and a strategy for choosing optimal number of clusters is proposed. A concatenation of the agglomerative clustering and Fuzzy-state Q-learning allows us to learn and predict human behavior patterns. The last part of the talk is about learning a generalized kernel function for kernel-based pattern classification. Theoretical results on a generalized kernel function and its learning via regularization are presented. Its performance is demonstrated with an application of EMG signal-based walking phase recognition.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Critical Theory and Practice Seminar Energy Innovation Beyond 2013: A talk by the Global Director of BP Ventures Signal Processing and Communications Lab Seminars

Other talks

Singularities of Hermitian-Yang-Mills connections and the Harder-Narasimhan-Seshadri filtration Cosmology and Astrophysics from CMB Measurements TBC Changing understandings of the human fetus over five decades of legal abortion 'Alas, poor Yorick!': Laurence Sterne's "A Sentimental Journey" after 250 years' Statistical Methods in Pre- and Clinical Drug Development: Tumour Growth-Inhibition Model Example Cambridge-Lausanne Workshop 2018 - Day 1 Speculations about homological mirror symmetry for affine hypersurfaces To be confirmed TODAY Foster Talk - Localised RNA-based mechanisms underlie neuronal wiring
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity