Category Archives: Computer Vision & Pattern Recognition

Medical Image Processing: From Pixel to Structure

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Similar “behavior pattern recognition” is applied in the financial world. IEEE Conference on}, pages={248--255}, year={2009}, organization={IEEE} } @article{VisionEasier, title={Vision is getting easier every day}, author={Cavanagh, Patrick}, journal={Perception}, volume={24}, number={11}, pages={1227}, url = {http://lpp.psycho.univ-paris5.fr/pdf/PapersPC/1995/Cavanagh-24-1995-1227-32.pdf}, year={1995} } @article{SimulationScene, title={Simulation as an engine of physical scene understanding}, author={Battaglia, Peter W and Hamrick, Jessica B and Tenenbaum, Joshua B}, journal={Proceedings of the National Academy of Sciences}, volume={110}, number={45}, pages={18327--18332}, year={2013}, publisher={National Acad Sciences} } @article{GrowMind, title={How to grow a mind: Statistics, structure, and abstraction}, author={Tenenbaum, Joshua B and Kemp, Charles and Griffiths, Thomas L and Goodman, Noah D}, journal={science}, volume={331}, number={6022}, pages={1279--1285}, year={2011}, publisher={American Association for the Advancement of Science}, url={http://web.mit.edu/cocosci/Papers/tkgg-science11-reprint.pdf} } @article{ProbabilisticGraphics, title={Approximate Bayesian image interpretation using generative probabilistic graphics programs}, author={Mansinghka, Vikash K and Kulkarni, Tejas D and Perov, Yura N and Tenenbaum, Joshua B}, year={2013} } @article{RBC, title={Recognition-by-components: a theory of human image understanding.}, author={Biederman, Irving}, journal={Psychological review}, volume={94}, number={2}, pages={115}, year={1987}, publisher={American Psychological Association} } @article{PictorialStructure, title={The representation and matching of pictorial structures}, author={Fischler, Martin A and Elschlager, Robert A}, journal={Computers, IEEE Transactions on}, volume={100}, number={1}, pages={67--92}, year={1973}, publisher={IEEE} } @article{PrinciplesOfCategorization, title={Principles of categorization}, author={Rosch, Eleanor}, journal={Concepts: core readings}, pages={189--206}, year={1999} } @article{ObjectPerspective, title={Putting objects in perspective}, author={Hoiem, Derek and Efros, Alexei A and Hebert, Martial}, journal={International Journal of Computer Vision}, volume={80}, number={1}, pages={3--15}, year={2008}, publisher={Springer} } @inproceedings{PhotoTourism, title={Photo tourism: exploring photo collections in 3D}, author={Snavely, Noah and Seitz, Steven M and Szeliski, Richard}, booktitle={ACM transactions on graphics (TOG)}, volume={25}, number={3}, pages={835--846}, year={2006}, organization={ACM} } @article{BiedermanScene, title={Scene perception: Detecting and judging objects undergoing relational violations}, author={Biederman, Irving and Mezzanotte, Robert J and Rabinowitz, Jan C}, journal={Cognitive psychology}, volume={14}, number={2}, pages={143--177}, year={1982}, publisher={Elsevier} } @article{TinyImage, title={80 million tiny images: A large data set for nonparametric object and scene recognition}, author={Torralba, Antonio and Fergus, Robert and Freeman, William T}, journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on}, volume={30}, number={11}, pages={1958--1970}, year={2008}, publisher={IEEE} } @inproceedings{SceneCompletion, title={Scene completion using millions of photographs}, author={Hays, James and Efros, Alexei A}, booktitle={ACM Transactions on Graphics (TOG)}, volume={26}, number={3}, pages={4}, year={2007}, organization={ACM} } @inproceedings{IM2GPS, title={IM2GPS: estimating geographic information from a single image}, author={Hays, James and Efros, Alexei A}, booktitle={Computer Vision and Pattern Recognition, 2008.

Elements of Random Walk and Diffusion Processes

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He was cofounder and associate director of the Brown University Laboratory for Engineering Man/Machine Systems (LEMS) from 1982 through 1997 and served on the executive committee of the Division of Engineering, Brown University for a few years. Machine Learning and Cognitive Systems: The Next Evolution of Enterprise Intelligence (Part I) Machine Learning and Cognitive Systems: The Next Evolution of Enterprise Intelligence (Part I) IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, in order to keep pace with modern business.

Mapping and Visualization with SuperCollider

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Abstract PDF Sparkle Vision: Seeing the World through Random Specular Microfacets. Schubmehl: If you talk about broad AI, or this general-purpose AI, that are popularized by movies like Her or Tony Stark’s Jarvis (in Iron Man), I don’t think we are at the point where we are at broad AI. The system gets trained on this kind of data. His first bias-optimal metalearner was the above-mentioned Optimal Ordered Problem Solver (2002), and the ultimate metalearner is the Gödel machine (2003).

Scale-Space and Morphology in Computer Vision

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Facts about the world have to be represented in some way. Freeman.pdf Ӡ Recurrent Neural Networks Design And Applications - L. Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you’re most interested in. Exemplary applications include low-complexity faces and Low-Complexity Art, the computer-age equivalent of minimal art (Leonardo, 1997). Jamie Shotton is a Partner Scientist and leads the HoloLens Science team at Microsoft in Cambridge, UK, where his team focuses on the visual understanding of people to improve interaction and communication in mixed reality.

Digital-Forensics and Watermarking: 14th International

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Homework solutions will be made available for each assignment. IEEE Transactions on Circuits and Systems for Video Technology,. We present a few examples of research along this line. Applications: text summarization, machine translation, sentiment analysis, perception evaluation, cognitive assistive systems; NLP tool-kits augmentation. Etoh, “1st ACM International Workshop on Interactive Multimedia for Consumer Electronics (IMCE’09)”, ACM International Conference on Multimedia (MM), Beijing, China, 2009.

Medical Content-Based Retrieval for Clinical Decision

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Wu, Y. and Liu, Y. and Yuan, Z. and Zheng, N. All the submitted papers will be reviewed by a minimum of two reviewers, and all the registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. The study does not gloss over disruption from AI. Torch7 is built over Torch5, bringing more flexibility in Tensor types, as well as many optimizations (including SSE, OpenMP or CUDA).

Advances in Neural Networks- ISNN 2013: 10th International

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Facebook’s new AI research group reports a major improvement in face-processing software. It is not in any way responsible, and has no legal liability, in respect of the contents of any other site referenced from this site, nor for information provided through that site. The data is right there, and for now we only seem to be scratching the surface. View in article Eliene Augenbraun, “Elon Musk: Artificial intelligence may be ‘more dangerous than nukes’,” CBS News, http://www.cbsnews.com/news/elon-musk-artificial-intelligence-may-be-more-dangerous-than-nukes/. accessed October 3, 2014.

Evolutionary Computation, Machine Learning and Data Mining

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Taking inspiration from the world of James Bond, this book adds a spark of adventure and computer vision to your daily routine. A report published on May 5th showed how America’s spies use voice-recognition software to convert phone calls into text, in order to make their contents easier to search. Series of laboratory projects, including extra challenge work. Two important specifications in any vision system are the sensitivity and the resolution.

Introduction to Image Processing and Analysis

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How do we let you [the user] know when we think we’re right, when we think we’re close, when we think we’re wrong, and how do we ultimately get to a place where the user actually decides? One of Google’s acquisitions, DeepMind, has apparently insisted upon the formation of an ethics board as a legal condition for the deal; and one of that company’s founders, Shane Legg, appears thus in The Daily Mail: “Eventually, I think human extinction will probably occur, and technology will likely play a part in this,” DeepMind’s Shane Legg said in a recent interview.

Progress in Pattern Recognition (Advances in Computer Vision

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C, p.229-238, August 2015 Junyuan Xie, Linli Xu, Enhong Chen, Image denoising and inpainting with deep neural networks, Proceedings of the 25th International Conference on Neural Information Processing Systems, p.341-349, December 03-06, 2012, Lake Tahoe, Nevada Biao Leng, Shuang Guo, Xiangyang Zhang, Zhang Xiong, 3D object retrieval with stacked local convolutional autoencoder, Signal Processing, v.112 n. I'm a PhD student in the Electrical Engineering & Computer Science department at the University of California, Berkeley.