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Pattern Recognition
Results: 1666

#	Item
861	Information Theory, Pattern Recognition and Neural Networks Handout 2 February 5, [removed]Course summary: central chapters Data compression and noisy channel coding (Chapters 1–6, 8–10, 14). (But omitting section 6.4 Add to Reading List Source URL: wol.ra.phy.cam.ac.uk Language: English - Date: 2008-02-13 08:28:01 Science Entropy Arithmetic coding Mutual information Huffman coding Conditional entropy Noisy-channel coding theorem Letter frequency Confidence interval Information theory Statistics Information
862	The Use of Unlabeled Data to Improve Supervised Learning for Text Summarization Massih-Reza Amini and Patrick Gallinari Computer Science Laboratory of Paris 6 (LIP6) University of Pierre and Marie Curie 4, place de jussi Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:34 Statistical classification Natural language processing Computational linguistics Data mining Automatic summarization Supervised learning Linear classifier Naive Bayes classifier Pattern recognition Statistics Machine learning Artificial intelligence
863	Component-based discriminative classification for hidden Markov models Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:45 Markov models Linear classifier Hidden Markov model Perceptron Pattern recognition Feature scaling Support vector machine Speech recognition Fisher kernel Statistics Machine learning Statistical classification
864	On the Quantitative Estimation of Short-Term Aging in Human Faces Marcos Ortega, Linda Brodo, Manuele Bicego, and Massimo Tistarelli 1 University of A Coru˜ Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:26 Automatic identification and data capture Facial recognition system Surveillance Face Pattern recognition Linear discriminant analysis Statistics Face recognition Head and neck
865	Pattern Recognition Letters[removed]–2599 www.elsevier.com/locate/patrec A Hidden Markov Model approach for appearance-based 3D object recognition Manuele Bicego 1, Umberto Castellani, Vittorio Murino Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:48:53 Imaging Computer vision 3D single object recognition Object recognition Wavelet Hidden Markov model Gesture recognition Speech recognition Pattern recognition Artificial intelligence Vision User interface techniques
866	LNCS[removed]Exploiting Geometry in Counting Grids Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Generative model Probabilistic latent semantic analysis Latent Dirichlet allocation Pattern recognition Expectation–maximization algorithm Supervised learning Support vector machine Grid plan Statistics Machine learning Statistical natural language processing
867	LAND COVER CLASSIFICATION SYSTEM BASIC PRINCIPLES LAND COVER DEFINITION WHY A NEW CLASSIFICATION? Add to Reading List Source URL: www.glcn.org Language: English - Date: 2008-07-08 08:53:02 Flexibility Structural engineering A priori and a posteriori Statistical classification Biological classification Vegetation Climate Land cover Multispectral pattern recognition Knowledge Science Biology
868	Outline Algorithms for Nearest Neighbors Background and Two Challenges 1 Formulating the Problem Add to Reading List Source URL: yury.name Language: English - Date: 2007-12-08 06:42:46 Science Machine learning Searching Data mining Nearest neighbor search K-nearest neighbor algorithm Recommender system Database Pattern recognition Information science Search algorithms Information retrieval
869	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:16 Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics Statistical classification Mathematics
870	PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 3: LINEAR MODELS FOR REGRESSION Linear Basis Function Models (1) Example: Polynomial Curve Fitting Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-02-04 11:57:27 Least squares Orthogonality Maximum likelihood Likelihood function Linear model Linear Curve fitting Gaussian function Polynomial regression Statistics Regression analysis Mathematics

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