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Computational Inference STAT 440 / 840 CM 461

Computational Inference STAT 440 / 840 CM 461. Instructor: Ali Ghodsi Course Webpage: http://www.math.uwaterloo.ca/~aghodsib/courses. Applications. Computer Vision Speech Processing Machine Learning Molecular Biology. Computer Vision.

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Computational Inference STAT 440 / 840 CM 461

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  1. Computational InferenceSTAT 440 / 840CM 461 Instructor:Ali Ghodsi Course Webpage: http://www.math.uwaterloo.ca/~aghodsib/courses

  2. Applications • Computer Vision • Speech Processing • Machine Learning • Molecular Biology

  3. Computer Vision N. Jojic and B.J. Frey, “ Learning flexible sprites in video layers”, CVPR 2001, (Video)

  4. Artistic Painting Style Translation (Unsupervised Approach) Cezanne Cistern in the Park at Chateau Noir

  5. Artistic painting Texture Transfer

  6. Model Representation Probabilistic Model Image patches (output) Filter T. Transform. Image patches (input)

  7. Romer Rosales

  8. Speech Processing(Denoising) Input signal (corrupted speech) Denoising using a low pass filter Denoising using Probabilistic Graphical Model K. Achan, S. T. Roweis, A. Hertzmann, and B. J. Frey, 2004 A Segmental HMM for Speech Waveforms

  9. Machine Learning(Spectral Clustering)

  10. Machine Learning(Generative Models of Affinity Matrices )

  11. Molecular BiologyA REVISED VIEW OF THE MAMMALIAN LIBRARY OF GENES (NATURE GENETICS, Aug 2005) • Recent mammalian microarray experiments have detected widespread transcription and raised the possibility that there may be a large number of undiscovered multi-exon protein-coding genes. To explore this possibility, we hybridized unamplified, polyadenylation-selected samples from 37 mouse tissues to microarrays encompassing 1.14 million exon probes (see toy schematic on left). We analyzed these data using GenRate, a Bayesian algorithm that uses a genome-wide scoring function in a factor graph to infer genes. At a stringent exon false detection rate of 2.7%, GenRate detects 12,145 gene-length transcripts and confirms 81% of the 10,000 most highly-expressed known genes. Surprisingly, our analysis shows that most of the 155,839 exons detected by GenRate are associated with known genes, providing for the first time microarray-based evidence that the vast majority of multi-exon genes have already been discovered. GenRate also detects tens of thousands of potential new exons and reconciles discrepancies in current cDNA databases, by stitching novel transcribed regions into previously-annotated genes.

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