Categorization

Results: 966



#Item
421Caltech 101 / LabelMe / Object recognition / Part-based models / Segmentation / Object detection / Kadir–Brady saliency detector / Boosting methods for object categorization / Computer vision / Image processing / California Institute of Technology

Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

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Source URL: vision.stanford.edu

Language: English - Date: 2013-11-09 20:10:05
422Artificial intelligence / Linear classifier / Support vector machine / Classifier / Boosting methods for object categorization / Multiclass classification / Statistics / Statistical classification / Machine learning

Microsoft PowerPoint - ilsvrc2012_isi_web_20121018

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Source URL: image-net.org

Language: English - Date: 2014-02-08 22:41:14
423Semantics / California Institute of Technology / Caltech 101 / One-shot learning / Semantic similarity / Support vector machine / Prototype theory / K-nearest neighbor algorithm / Statistics / Artificial intelligence / Statistical classification

Large-Scale Category Structure Aware Image Categorization Bin Zhao School of Computer Science Carnegie Mellon University

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:18:48
424Computational statistics / AdaBoost / Boosting / Statistical classification / Classifier / Functional magnetic resonance imaging / Boosting methods for object categorization / Ensemble learning / Artificial intelligence / Learning

Exploiting Spatial Information to Improve fMRI Pattern Classification Melissa K. Carroll , Kenneth A. Norman , James V. Haxby , Robert E. Schapire 1

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Source URL: compmem.princeton.edu

Language: English - Date: 2010-11-05 09:33:06
425Mind / Image processing / Segmentation / Conditional random field / Object recognition / Texture / Random field / Perception / Science / Computer vision / Knowledge

Learning Coupled Conditional Random Field for Image Decomposition with Application on Object Categorization Xiaoxu Ma W. Eric L. Grimson

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Source URL: people.csail.mit.edu

Language: English - Date: 2008-03-29 21:02:18
426Learning / Co-training / Supervised learning / Statistical classification / Semi-supervised learning / Classifier / Support vector machine / Binary classification / Empirical risk minimization / Machine learning / Statistics / Artificial intelligence

Learning from Multiple Partially Observed Views – an Application to Multilingual Text Categorization Massih R. Amini Interactive Language Technologies Group National Research Council Canada

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Source URL: eprints.pascal-network.org

Language: English - Date: 2009-11-19 11:18:02
427Energy in the United States / United States Department of Energy

Natural Phenomena Hazards Performance Categorization Guidelines for Structures, Systems, and Components

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Source URL: nnsa.energy.gov

Language: English - Date: 2011-11-04 17:07:33
428Information retrieval / Information / Social information processing / Machine learning / Collective intelligence / Recommender system / Collaborative filtering / Information filtering system / GroupLens Research / Information science / Science / Human–computer interaction

Appears in Proceedings of the Fifth ACM Conference on Digital Libraries, pp[removed], San Antonio, TX, June 2000 Content-Based Book Recommending Using Learning for Text Categorization Raymond J. Mooney

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Source URL: www.cs.utexas.edu

Language: English - Date: 2002-02-06 19:35:54
429Library science / Information / Knowledge / Subject / Essay / Categorization / Knowledge representation / Science / Information science

The Write Place The Writing-Across-the-Curriculum Writing Center at LSC-Montgomery The Classification or Division Essay Classification and division are two simple organizing techniques that can be very helpful in analyzi

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Source URL: www.lonestar.edu

Language: English - Date: 2014-09-23 10:43:54
430Statistical classification / Face recognition / Parts of speech / Machine learning / Face detection / Classifier / Histogram of oriented gradients / Linear classifier / Boosting methods for object categorization / Artificial intelligence / Statistics / Vision

Ghostscript wrapper for sharensferbourdevributesT.pdf

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2012-03-09 17:50:53
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