'Neural information processing systems' presentation slideshows

Using a Low-Cost Electroencephalograph for Task Classification in HCI Research

Using a Low-Cost Electroencephalograph for Task Classification in HCI Research. Johnny C. Lee Carnegie Mellon University. Desney S. Tan Microsoft Research. UIST 2006, Montreux Switzerland. NY Times Magazine, October 16, 2005. National Geographic, March 2005. Brain-Computer Interfaces (BCI).

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Supervised learning from multiple experts Whom to trust when everyone lies a bit Vikas C Raykar Siemens Healthcare USA

Supervised learning from multiple experts Whom to trust when everyone lies a bit Vikas C Raykar Siemens Healthcare USA 26th International Conference on Machine Learning June 16 2009. Co-authors Shipeng Yu, Anna Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni

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Nonlinear Dimensionality Reduction

Nonlinear Dimensionality Reduction. Presented by Dragana Veljkovic. Overview. Curse-of-dimensionality Dimension reduction techniques Isomap Locally linear embedding (LLE) Problems and improvements. Problem description.

501 views • 31 slides

Non-metric affinity propagation for unsupervised image categorization

Non-metric affinity propagation for unsupervised image categorization. Delbert Dueck and Brendan J. Frey ICCV 2007. Outline. Introduction Comparison of the NIPS (2006) and Science (2007) Algorithms Unsupervised Categorization of Olivetti Face Images

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Adaptive Routing

748 views • 30 slides

Misc-read presentation: Jonathan Huang (jch1@cs.cmu.edu) 4/19/2006

Describing Visual Scenes using Transformed Dirichlet Processes Erik B. Sudderth, Antonio Torralba, William T. Freeman, and Alan S. Willsky. In Adv. in Neural Information Processing Systems, 2005 . . Misc-read presentation: Jonathan Huang (jch1@cs.cmu.edu) 4/19/2006. Paper Contributions .

433 views • 29 slides

Explicit Modelling in Metaheuristic Optimization

Explicit Modelling in Metaheuristic Optimization. Dr Marcus Gallagher School of Information Technology and Electrical Engineering University of Queensland Q. 4072 marcusg@itee.uq.edu.au. Talk outline: Optimization, heuristics and metaheuristics.

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A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics

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Publish paper in Computer Vision Area

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Super SOC: putting the whole (autonomous) system on the chip (ASOC)

Super SOC: putting the whole (autonomous) system on the chip (ASOC). Michael J Flynn. ASOC: what it is. A standalone (in so far as possible) SOC with the battery, sensors, actuators, controllers, communications and storage.

318 views • 20 slides

Latent Dirichlet Allocation D. Blei, A. Ng, and M. Jordan. Journal of Machine Learning Research , 3:993-1022, January 2

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Machine Learning Artificial Neural Networks

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Dimensionality Reduction in Hyperspectral Image Analysis Using Independent Component Analysis

Dimensionality Reduction in Hyperspectral Image Analysis Using Independent Component Analysis. Hongtao Du Feb 18, 2003. Status Summary. What is hyperspectral image? How to analyze hyperspectral image? Why reduce dimensionality in hyperspectral image analysis?

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Eick: Introduction Machine Learning

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Finding Clusters within a Class to Improve Classification Accuracy

Finding Clusters within a Class to Improve Classification Accuracy. Final Project Yong Jae Lee 4/28/08. Objective. Find Clusters. Car images. Approach. Object Representation: Scale Invariant Feature Transform (SIFT) [Lowe. 2004] Image to Image Similarity:

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Importance of human communication in medical teams and towards team performance and patient safety.

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WAIS @ MIREX 2011 AMS and Genre Classification Tasks

Audio Files. W 1. Spectral Distances. Normalize. Spectral Features. Combine Features. Scale Features. Distance Matrix. DAGSVM. Flux. W 2. ?. Normalize. Rhythm Distances. Rhythm Features. Genre. W 3. Tempo Distances. Normalize. Tempo Features. Test Song.

141 views • 1 slides