'Update equations' presentation slideshows

NMF Demo: Lee, Seung

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Fast Background Subtraction using CUDA

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Fast Background Subtraction using CUDA

543 views • 26 slides

M.S. Student, Heejong Hong 07. 14. 2014

Estimating the Driving State of Oncoming Vehicles From a Moving Platform Using Stereo Vision IEEE Intelligent Transportation Systems 2009. Alexander Barth and Uwe Franke. M.S. Student, Heejong Hong 07. 14. 2014. Outline. Introduction Related Works Proposed Method Experimental Results

288 views • 22 slides

Demand Planning: Part 2

Demand Planning: Part 2. Collaboration requires shared information. Objectives. Hands on experience using smoothing procedures Enhanced trend and seasonal smoothing models Forecasting into the future Parameter & initialization estimation considerations Error measures. Smoothing Models.

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Rules for Information Maximization in Spiking Neurons Using Intrinsic Plasticity

Rules for Information Maximization in Spiking Neurons Using Intrinsic Plasticity. Prashant Joshi & Jochen Triesch. Email: { joshi,triesch }@fias.uni-frankfurt.de | Web: www.fias.uni-frankfurt.de/~{joshi,triesch}. Synopsis.

344 views • 19 slides

Lecture 11: Kalman Filters

Lecture 11: Kalman Filters. CS 344R: Robotics Benjamin Kuipers. Up To Higher Dimensions. Our previous Kalman Filter discussion was of a simple one-dimensional model. Now we go up to higher dimensions: State vector: Sense vector: Motor vector: First, a little statistics.

350 views • 19 slides

Estimating review score from words

CMPE 545 Artificial Neural Networks. Estimating review score from words. Işık Barış Fidaner. S. = 1/N . score i. Metascore. The rating given to this product. r t =. The source of this review. Score. Reviewer. Quote. + affectionate. A few sentences that summarize this review.

285 views • 18 slides