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Pattern recognition
Results: 1666

#	Item
101	Classification and Learning for Character Recognition: Comparison of Methods and Remaining Problems Cheng-Lin Liu National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences P.O Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:49 Statistical classification Artificial intelligence Statistics Learning Machine learning Pattern recognition Support vector machine Supervised learning MNIST database Linear discriminant analysis Multiclass classification Perceptron
102	Fast Optimization for t-SNE Laurens van der Maaten Department of Computer Science and Engineering, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093, USA Pattern Recognition & Bioinformatics Lab, Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Numerical analysis Statistics Applied mathematics Dimension reduction T-distributed stochastic neighbor embedding Computational statistics Nonlinear dimensionality reduction Mathematical optimization Dimensionality reduction Deep learning Artificial neural network
103	Microsoft Word - NEW_Hagenauer_etal_Autocarto2012_final.docx Add to Reading List Source URL: www.cartogis.org Language: English - Date: 2012-11-06 14:46:54 Artificial neural networks Machine learning Applied mathematics Statistics Self-organizing map U-matrix Pattern recognition
104	Bridging Long Time Lags by Weight Guessing and \Long Short Term Memory" Sepp Hochreiter Fakultat fur Informatik, Technische Universitat Munchen Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:11:14 Artificial neural networks Applied mathematics Cybernetics Academia Recurrent neural network Long short-term memory Sepp Hochreiter Backpropagation Artificial intelligence Pattern recognition Time delay neural network Deep learning
105	21st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Optical flow based Head Movement and Gesture Analyzer (OHMeGA) Sujitha Martin, Cuong Tran and Mohan Trivedi University Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2012-11-19 16:16:01 Geometry Mechanics Euclidean geometry Orientation Rigid bodies Space Eye Vision Optical flow Rotation Fixation Motion
106	Robot In a Room: Toward Perfect Object Recognition in Closed Environments arXiv:1507.02703v1 [cs.CV] 9 Jul 2015 Shuran Song Add to Reading List Source URL: vision.princeton.edu Language: English - Date: 2015-07-13 00:32:52 Computer vision Artificial intelligence Vision Robot control Outline of object recognition 3D scanner Conference on Computer Vision and Pattern Recognition LabelMe Pose Robotics Image segmentation 3D reconstruction
107	Microsoft Research Japan·Korea Academic Day 2016 Professor Talks* University Nagoya University, Japan Add to Reading List Source URL: www.murase.m.is.nagoya-u.ac.jp Language: English - Date: 2016-05-20 01:32:56 IEEE conferences Science and technology International Conference on Computer Vision Cooking Aesthetics Science in society Conference on Computer Vision and Pattern Recognition Nagoya Food Electrical engineering
108	Compacting ConvNets for end to end Learning Jose M. Alvarez Joint work with Lars Pertersson, Hao Zhou, Fatih Porikli. NICTA Copyright 2012 Add to Reading List Source URL: juxi.net Language: English - Date: 2016-02-10 01:19:02 Computational neuroscience Cognitive science Data Artificial intelligence Artificial neural networks Computer vision Convolutional neural network NICTA Conference on Computer Vision and Pattern Recognition Imagination Image segmentation Copyright
109	Towards Open World Recognition Abhijit Bendale, Terrance Boult University of Colorado at Colorado Springs {abendale,tboult}@vast.uccs.edu Abstract Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:18:31 Artificial intelligence Machine learning Learning Statistical classification Pattern recognition Support vector machine Supervised learning Artificial neural network K-nearest neighbors algorithm Deep learning Boosting Semi-supervised learning
110	“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Add to Reading List Source URL: sameersingh.org Language: English - Date: 2016-08-18 16:00:00 Machine learning Statistical classification Statistics Artificial intelligence Learning Support vector machine Recommender system K-nearest neighbors algorithm Naive Bayes classifier Pattern recognition Cross-validation Classifier

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