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sbarthelme library [173 articles]

最近 sbarthelme さんのライブラリ .
  • Parameter learning but not structure learning: a Bayesian network model of constraints on early perceptual learning.
    Journal of vision, Vol. 7, No. 1. (2007)
    by MM Michel, RA Jacobs
    posted to perceptual_learning by sbarthelme on 2008-07-17 22:33:59 as **
  • Bayesian modeling of dynamic motion integration
    Journal of Physiology-Paris, Vol. 101, No. 1-3. ( 2007), pp. 64-77.
    by Anna Montagnini, Pascal Mamassian, Laurent Perrinet, Eric Castet, Guillaume S Masson
    posted to motion bayesian_model by sbarthelme on 2008-07-17 22:16:12 as **
  • Untangling invariant object recognition
    Trends in Cognitive Sciences, Vol. 11, No. 8. (August 2007), pp. 333-341.
    by James J Dicarlo, David D Cox
    posted to object_recognition by sbarthelme on 2008-07-17 22:03:09 as **
  • Explicit estimation of visual uncertainty in human motion processing
    Vision Research, Vol. 45, No. 24. (November 2005), pp. 3050-3059.
    by Erich W Graf, Paul A Warren, Laurence T Maloney
    posted to uncertainty confidence by sbarthelme on 2008-07-17 22:02:24 as ** along with 1 person and 1 group Henry Fiser-Lab
  • Modeling Visual Patterns by Integrating Descriptive and Generative Methods
    by Cheng E Guo, Song C Zhu, Ying N Wu
    posted to computer_vision by sbarthelme on 2008-07-17 11:43:45 as **
  • Bootstrapped learning of novel objects.
    Journal of vision, Vol. 3, No. 6. (2003), pp. 413-422.
    by MJ Brady, D Kersten
    posted to object_recognition by sbarthelme on 2008-07-17 01:39:09 as **
  • Can we imagine how objects look from other viewpoints?
    Cognitive psychology, Vol. 21, No. 2. (April 1989), pp. 185-210.
    by I Rock, D Wheeler, L Tudor
    posted to object_recognition by sbarthelme on 2008-07-08 03:53:00 as ** along with 1 person bhamcnil
  • Model Selection for Support Vector Machine Classification
    (18 Mar 2002)
    by Carl Gold, Peter Sollich
    posted to sparse model_selection evidence_maximisation by sbarthelme on 2008-06-20 12:40:19 as **
  • Self-Invertible 2D Log-Gabor Wavelets
    Int. J. Comput. Vision, Vol. 75, No. 2. (November 2007), pp. 231-246.
    by Sylvain Fischer, Filip sroubek, Laurent Perrinet, Rafael Redondo, Gabriel Cristóbal
    posted to wavelets by sbarthelme on 2008-06-17 11:47:00 as ***
  • A Tutorial on the Cross-Entropy Method
    Annals of Operations Research, Vol. 134, No. 1. (January 2005), pp. 19-67.
    by Pieter-Tjerk de Boer, Dirk Kroese, Shie Mannor, Reuven Rubinstein
    posted to statistics optimization by sbarthelme on 2008-06-14 23:45:40 as **** along with 2 people and 3 groups ansobol nojhan Optimization Metaheuristics EvolutionaryComputation
  • Translation-Invariant De-Noising
    (1995), pp. 125-150.
    by RR Coifman, DL Donoho
    edited by A Antoniadis, G Oppenheim
    posted to wavelets denoising by sbarthelme on 2008-06-04 20:48:28 as ** along with 2 people nicholso gxt114
  • Regression shrinkage and selection via the lasso
    J. Roy. Statist. Soc. Ser. B, Vol. 58, No. 1. (1996), pp. 267-288.
    by Robert Tibshirani
    posted to sparse l1 by sbarthelme on 2008-06-04 16:41:37 as read along with 1 person mukundn
  • Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
    Advances in Neural Information Processing Systems, Vol. 19 (2007)
    by GC Cawley, NLC Talbot, M Girolami
    edited by B Schölkopf, JC Platt, T Hoffmann
    posted to sparse l1 by sbarthelme on 2008-06-03 15:44:23 as read
  • A Wavelet Tour of Signal Processing, Second Edition (Wavelet Analysis & Its Applications)
    (15 September 1999)
    by Stéphane Mallat
    posted to wavelets signal_processing by sbarthelme on 2008-05-28 23:55:42 as ** along with 9 people and 1 group herrk alexr mvrankic pbellec bigbossman yann I_Biomed CharlesM fjanoos Autoregulation
  • Bayesian regularization and pruning using a Laplace prior
    Neural Comput., Vol. 7, No. 1. (January 1995), pp. 117-143.
    by Peter M Williams
    posted to sparse l1 by sbarthelme on 2008-05-21 15:01:29 as *****
  • Information Theory, Inference & Learning Algorithms
    (15 June 2002)
    by David JC Mackay
    posted to bayesian informationtheory by sbarthelme on 2008-04-21 23:15:48 as read along with 40 people and 5 groups luispedro matjes delip lop ekatsyrk quianominorleo markusd A_Olympia ansobol yaroslavvb JoSeK ingo jrw rpadams gyuli dariusb simonjudge leidner bayesian BarrosH wnpx filippone marcosmuller danielaugot zielaj daveh spirit_of_numenor anon_pl dwf petrijooste wowbagger nrubens chrisc rsantana fishtank rwilliamson poluxmoon robertoalamino brianmc robotact Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
  • Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
    Neural Comput, Vol. 16, No. 12. (December 2004), pp. 2533-2561.
    by L Paninski, JW Pillow, EP Simoncelli
    posted to glm by sbarthelme on 2008-04-21 22:36:07 as ** along with 3 people brian bayesian dmschneid
  • Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
    (18 July 2006)
    by Thomas M Cover, Joy A Thomas
    posted to informationtheory by sbarthelme on 2008-04-21 18:19:31 as read along with 9 people quianominorleo MBFalcon ansobol mshafiei bayes nmdang alexzeh fjanoos BrianTomasik
  • The role of parametric assumptions in adaptive Bayesian estimation.
    Psychological methods, Vol. 9, No. 2. (June 2004), pp. 250-271.
    by R Alcalá-Quintana, MA García-Perez
    posted to adaptive_method psychometric_function by sbarthelme on 2008-04-18 22:17:42 as **
  • Nonparametric Density Estimation: Toward Computational Tractability
    (2003)
    by AG Gray, AW Moore
    posted to density_estimation by sbarthelme on 2008-04-01 17:21:12 as read
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to statistics by sbarthelme on 2008-03-24 19:25:17 as read along with 39 people and 10 groups jaonary quianominorleo Repton blueskies amirsaffari ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia robotact CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
  • Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
    (01 December 2005)
    by Carl E Rasmussen, Christopher KI Williams
    posted to gaussian_processes by sbarthelme on 2008-03-24 19:20:22 as *** along with 6 people filippone librain brianmc singhsh sfuniak BrianTomasik
  • Automatic gait optimization with gaussian process regression
    by Daniel Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans
    edited by Manuela Veloso
    posted to gaussian_processes optimization by sbarthelme on 2008-03-24 19:18:06 as read
  • Comparison of adaptive psychometric procedures motivated by the theory of optimal experiments: simulated and experimental results.
    J Acoust Soc Am, Vol. 123, No. 1. (January 2008), pp. 315-326.
    by JJ Remus, LM Collins
    posted to adaptive_method by sbarthelme on 2008-03-20 21:44:13 as **
  • Bayesian inference for psychometric functions.
    J Vis, Vol. 5, No. 5. (27 May 2005), pp. 478-492.
    by M Kuss, F Jäkel, FA Wichmann
    posted to psychometric_function by sbarthelme on 2008-03-20 21:15:53 as read along with 1 person and 1 group fengzhou VisionLab
  • Bayesian Data Analysis
    (2003)
    by Andrew Gelman, John B Carlin, Hal S Stern, Donald B Rubin
    posted to bayesian statistics by sbarthelme on 2008-03-20 21:11:36 as read
  • The ideal psychometric procedure.
    Investigative Ophthalmology and Visual Science (Supplement), Vol. 28 (1987), 366.
    by Denis Pelli
    posted to adaptive_method by sbarthelme on 2008-03-20 20:53:03 as **
  • Measuring, estimating, and understanding the psychometric function: a commentary.
    Percept Psychophys, Vol. 63, No. 8. (November 2001), pp. 1421-1455.
    by SA Klein
    posted to psychometric_function by sbarthelme on 2008-03-20 20:20:15 as ** along with 5 people and 2 groups davclark fcalabro klouie neilh suizan CognAc -- Heterarchy of Control Glimcher_Lab
  • The psychometric function: I. Fitting, sampling, and goodness of fit.
    Percept Psychophys, Vol. 63, No. 8. (November 2001), pp. 1293-1313.
    by FA Wichmann, NJ Hill
    posted to psychometric_function by sbarthelme on 2008-03-20 20:09:36 as read along with 4 people and 1 group brian klouie topg psimen Glimcher_Lab
  • The psychometric function: II. Bootstrap-based confidence intervals and sampling.
    Percept Psychophys, Vol. 63, No. 8. (November 2001), pp. 1314-1329.
    by FA Wichmann, NJ Hill
    posted to psychometric_function by sbarthelme on 2008-03-20 20:09:23 as read along with 3 people and 1 group brian klouie psimen Glimcher_Lab
  • Efficient and unbiased modifications of the QUEST threshold method: theory, simulations, experimental evaluation and practical implementation.
    Vision Res, Vol. 34, No. 7. (April 1994), pp. 885-912.
    by PE King-Smith, SS Grigsby, AJ Vingrys, SC Benes, A Supowit
    posted to adaptive_method by sbarthelme on 2008-03-20 20:05:23 as ** along with 1 person neilh
  • QUEST: a Bayesian adaptive psychometric method.
    Percept Psychophys, Vol. 33, No. 2. (February 1983), pp. 113-120.
    by AB Watson, DG Pelli
    posted to adaptive_method by sbarthelme on 2008-03-20 20:04:15 as read along with 3 people and 1 group klouie neilh jilu Glimcher_Lab
  • Bayesian adaptive estimation of threshold versus contrast external noise functions: the quick TvC method.
    Vision Res, Vol. 46, No. 19. (October 2006), pp. 3160-3176.
    by LA Lesmes, ST Jeon, ZL Lu, BA Dosher
    posted to adaptive_method by sbarthelme on 2008-03-20 20:01:59 as **
  • Bayesian adaptive estimation of psychometric slope and threshold.
    Vision Res, Vol. 39, No. 16. (August 1999), pp. 2729-2737.
    by LL Kontsevich, CW Tyler
    posted to adaptive_method by sbarthelme on 2008-03-20 20:01:44 as read
  • The Ubiquitous Role of f'/f in Efficient Estimation of Location
    The American Statistician, Vol. 37, No. 2. (1983), pp. 128-133.
    by Brian L Joiner, David L Hall
    posted to l-estimators statistics by sbarthelme on 2008-03-20 13:02:44 as **
  • Kernel Quantile Estimators
    Journal of the American Statistical Association, Vol. 85, No. 410. (1990), pp. 410-416.
    by Simon J Sheather, JS Marron
    posted to l-estimators statistics by sbarthelme on 2008-03-20 12:58:50 as **
  • Image statistics and the perception of apparent motion.
    J Exp Psychol Hum Percept Perform, Vol. 16, No. 4. (November 1990), pp. 693-705.
    by DL Gilden, BI Bertenthal, S Othman
    posted to motion statistics by sbarthelme on 2008-03-17 14:24:01 as **
  • Motion detection is limited by element density not spatial frequency.
    Vision Res, Vol. 36, No. 4. (February 1996), pp. 545-558.
    by RA Eagle, BJ Rogers
    posted to motion rdk by sbarthelme on 2008-03-17 13:44:17 as **
  • How similar must the Fourier spectra of the frames of a random-dot kinematogram be to support motion perception?
    Vision Res, Vol. 36, No. 16. (August 1996), pp. 2489-2495.
    by T Ledgeway
    posted to motion rdk by sbarthelme on 2008-03-17 13:40:53 as **
  • Characterizing the Limits of Human Visual Awareness
    Science, Vol. 317, No. 5839. (10 August 2007), pp. 823-825.
    by Liqiang Huang, Anne Treisman, Harold Pashler
    posted to attention by sbarthelme on 2008-03-17 13:14:07 as **
  • A Boolean map theory of visual attention.
    Psychol Rev, Vol. 114, No. 3. (July 2007), pp. 599-631.
    by L Huang, H Pashler
    posted to attention theory by sbarthelme on 2008-03-17 13:13:50 as **
  • A Hierarchy of Temporal Receptive Windows in Human Cortex
    J. Neurosci., Vol. 28, No. 10. (5 March 2008), pp. 2539-2550.
    by Uri Hasson, Eunice Yang, Ignacio Vallines, David J Heeger, Nava Rubin
    posted to fmri motion by sbarthelme on 2008-03-17 13:09:20 as *** along with 6 people and 2 groups bayesian haidai jillhuang suizan tyrell_turing LewisChuang Functional_Imaging VisionLab
  • Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area
    Neural Comp., Vol. 20, No. 2. (1 February 2008), pp. 486-503.
    by Stephen J Hanson, Yaroslav O Halchenko
    posted to classification fmri by sbarthelme on 2008-02-21 16:59:04 as **
  • On the computational rationale for generative models
    Computer Vision and Image Understanding, Vol. 106, No. 1. (April 2007), pp. 130-143.
    by Arthur E Pece
    posted to computer_vision theory by sbarthelme on 2008-02-20 20:07:41 as ***
  • Context and Hierarchy in a Probabilistic Image Model
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 2 (2006), pp. 2145-2152.
    by Ya Jin, S Geman
    posted to computer_vision hierarchical_model theory by sbarthelme on 2008-02-20 19:36:39 as read
  • Unsupervised Learning
    Neural Computation, Vol. 1 (1989), pp. 295-311.
    by HB Barlow
    posted to no-tag by sbarthelme on 2008-02-20 18:07:42 as ***
  • Invariance and selectivity in the ventral visual pathway
    Journal of Physiology-Paris, Vol. 100, No. 4. (October 2006), pp. 212-224.
    by Stuart Geman
    posted to theory vision by sbarthelme on 2008-02-20 18:06:13 as read
  • A Tutorial on MM Algorithms
    pp. 30-37.
    by DR Hunter
    posted to optimization statistics by sbarthelme on 2008-02-17 17:12:57 as **
  • Characterizing observers using external noise and observer models: assessing internal representations with external noise.
    Psychol Rev, Vol. 115, No. 1. (January 2008), pp. 44-82.
    by ZL Lu, BA Dosher
    posted to external_noise perceptual_learning by sbarthelme on 2008-02-14 13:22:11 as **** along with 1 person and 1 group rsekuler VisionLab
  • Sparse but not `Grandmother-cell' coding in the medial temporal lobe
    Trends in Cognitive Sciences, Vol. In Press, Corrected Proof
    by Quian R Quiroga, G Kreiman, C Koch, I Fried
    posted to neural_computation object_recognition by sbarthelme on 2008-02-14 12:18:55 as ** along with 3 people and 1 group sen_cheng sekulerlab brockkirwan VisionLab
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