K-nearest neighbors algorithm

Results: 173



#Item
121Statistics / Artificial neural networks / Statistical classification / Applied mathematics / Data / Multilayer perceptron / Perceptron / Multimodal / K-nearest neighbors algorithm / Support vector machine / Wireless sensor network

MULTIMODAL MUSICIAN RECOGNITION Jordan Hochenbaum1 1 Ajay Kapur1,2

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Source URL: mat.ucsb.edu

Language: English - Date: 2012-03-14 20:22:25
122Computing / Concurrent computing / Data / Parallel computing / Distributed computing architecture / MapReduce / K-nearest neighbors algorithm / Skewness / Apache Hadoop / Profiling

On Data Skewness, Stragglers, and MapReduce Progress Indicators Emilio Coppa and Irene Finocchi Another example: MatMul - a sparse matrix multiplication library

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Source URL: acmsocc.github.io

Language: English - Date: 2016-02-21 03:10:51
123Statistical classification / Artificial intelligence / Statistics / Learning / K-nearest neighbors algorithm / Naive Bayes classifier / Classifier / OpenCV

CS 559: Homework Set 2 Due: October 8, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

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Source URL: www.cs.stevens.edu

Language: English - Date: 2015-09-30 00:18:00
124Search algorithms / 3D computer graphics / Business / Computing / Manufacturing / Point cloud / K-nearest neighbors algorithm / Spin / Cloud computing / Cloud / Statistics

CS 532: Homework Assignment 7 Due: December 11, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

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Source URL: www.cs.stevens.edu

Language: English - Date: 2015-11-25 00:25:23
125Dimension reduction / Multivariate statistics / Image segmentation / Multilinear algebra / Tensor / General-purpose computing on graphics processing units / Principal component analysis / K-nearest neighbors algorithm / Range segmentation

Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

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Source URL: ram-lab.com

Language: English - Date: 2015-12-18 03:33:57
126Artificial intelligence / Machine learning / Learning / Statistical classification / Support vector machine / K-nearest neighbors algorithm / Classifier chains / Multi-label classification / Binary classification / Boosting / Deep learning / Polynomial kernel

Identification of Songbird Species in Field Recordings Hsiao-Yu Tung htung

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Source URL: sfish0101.bitbucket.org

Language: English - Date: 2016-03-17 01:27:45
127Machine learning / Statistical classification / Statistics / Learning / Parts of speech / Data / Support vector machine / Classifier / Multi-label classification / K-nearest neighbors algorithm / Cross-validation

What You Submit is Who You Are: A Multi-Modal Approach for Deanonymizing Scientific Publications

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Source URL: hexhive.github.io

Language: English - Date: 2016-06-13 11:08:40
128Statistical classification / Machine learning / Ensemble learning / Data mining / K-nearest neighbors algorithm / Multiclass classification / Boosting / Pitch accent / Support vector machine / AdaBoost / Receiver operating characteristic / Binary classification

Classifying Skewed Data: Importance Weighting to Optimize Average Recall Andrew Rosenberg1 1 Department of Computer Science, Queens College (CUNY), Flushing, NY, USA

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Source URL: speech.cs.qc.cuny.edu

Language: English - Date: 2012-10-22 02:42:52
129Statistics / Dynamic programming / Machine learning / Mathematics / Data mining / Search algorithms / Anomaly detection / Data security / K-nearest neighbors algorithm / Algorithm / Dynamic time warping / Self-organizing map

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series Jones, M.J.; Nikovski, D.N.; Imamura, M.; Hirata, T.

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Source URL: www.merl.com

Language: English - Date: 2016-04-13 11:46:43
130Statistics / Statistical classification / Statistical theory / Probability / Ensemble learning / K-nearest neighbors algorithm / Prior probability / Monte Carlo method

Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

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Source URL: www.cc.gatech.edu

Language: English - Date: 2009-09-04 13:43:12
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