mthomure's library 586 articles Export

	Statistics of natural image categories [My Copy] Network: Computation in Neural Systems (August 2003), pp. 391-412. by A. Torralba, A. Oliva posted to computational-neuroscience by mthomure on 2009-11-20 02:10:00 as
	A Survey of General-Purpose Computation on Graphics Hardware [My Copy] Computer Graphics Forum, Vol. 26, No. 1. (March 2007), pp. 80-113. by John D. Owens, David Luebke, Naga Govindaraju, et al.Mark Harris, Jens Krüger, Aaron E. Lefohn, Timothy J. Purcell posted to gpu by mthomure on 2009-11-20 01:21:36 as along with 8 people mmeteo je55ek Jingbo iantunbridge jsenn kroatiker mjoach ronnix
	Scan Primitives for GPU Computing [My Copy] In Graphics Hardware 2007 (August 2007), pp. 97-106. by Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens posted to gpu by mthomure on 2009-11-20 01:16:05 as
	Parallel Prefix Sum (Scan) with CUDA [My Copy] In GPU Gems 3 (August 2007) by Mark Harris, Shubhabrata Sengupta, John D. Owens edited by Hubert Nguyen posted to gpu by mthomure on 2009-11-20 01:12:18 as
	GPU-Accelerated Text Mining [My Copy] In Workshop on Exploiting Parallelism using GPUs and other Hardware-Assisted Methods (March 2009) by Y. Zhang, F. Mueller, X. Cui, T. Potok posted to los-alamos gpu by mthomure on 2009-11-18 01:05:57 as
	Scaling learning algorithms towards AI [My Copy] In Large-Scale Kernel Machines (2007) by Yoshua Bengio, Yann LeCun edited by L. Bottou, O. Chapelle, D. DeCoste, J. Weston posted to convolution-networks by mthomure on 2009-11-10 21:47:24 as
	A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs [My Copy] J. Neurosci., Vol. 14, No. 1. (1 January 1994), pp. 409-441. by K. D. Miller posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 07:09:05 as along with 2 people jmarkow rwilliamson
	Opponent Inhibition: A Developmental Model of Layer 4 of the Neocortical Circuit [My Copy] Neuron, Vol. 33, No. 1. (3 January 2002), pp. 131-142. by Andrew S. Kayser, Kenneth D. Miller posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 07:04:29 as along with 1 person antolikjan
	Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex [My Copy] Biological Cybernetics, Vol. 84, No. 1. (7 January 2001), pp. 41-55. by A. P. Bartsch, J. L. van Hemmen posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 06:58:58 as
	Sparse Coding Models of Natural Images: Algorithms for Efficient Inference and Learning of Higher-Order Structure [My Copy] No. UCB/EECS-2009-71. (May 2009) by Pierre J. Garrigues posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 06:51:04 as
	Slow Feature Analysis: Unsupervised Learning of Invariances [My Copy] Neural Computation, Vol. 14, No. 4. (1 April 2002), pp. 715-770. by Laurenz Wiskott, Terrence J. Sejnowski posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 05:30:47 as along with 8 people and 1 group pascanur antolikjan sdaehne bayesian rajatr kperdue flavian_vasile ephel vision-ng
	Emergence of simple-cell receptive field properties by learning a sparse code for natural images [My Copy] Nature, Vol. 381, No. 6583. (13 June 1996), pp. 607-609. by Bruno A. Olshausen, David J. Field posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 05:24:54 as along with 10 people and 4 groups arsyed sen_cheng napvasconcelos aufrank drmabuse bpacker ajbattle Whyking kenji4569 i-stevenson ur-cls vision-ng Computational-Neurobiology Kording Lab
	Competitive Hebbian learning through spike-timing-dependent synaptic plasticity [My Copy] Nature Neuroscience, Vol. 3, No. 9. (01 September 2000), pp. 919-926. by Sen Song, Kenneth D. Miller, L. F. Abbott posted to prototype-learning computational-neuroscience by mthomure on 2009-11-10 05:14:10 as along with 11 people tyrell_turing apeyrache davidho Dax42 mura robotact agidon20 dcoates balicea fbaroni sylvain_chevallier
	A High-Throughput Screening Approach to Discovering Good Forms of Biologically-Inspired Visual Representation [My Copy] PLoS Computational Biology (2009) by N. Pinto, D. Doukhan, J. J. DiCarlo, D. D. Cox posted to prototype-learning by mthomure on 2009-11-10 03:33:22 as
	Object Recognition, Computer Vision, and the Caltech 101: A Response to Pinto et al. [My Copy] (23 March 2008) by Yann LeCun, David G. Lowe, Jitendra Malik, Jim Mutch, Pietro Perona, Tomaso Poggio posted to benchmark by mthomure on 2009-11-10 03:19:49 as
	Unsupervised Learning of Feature Hierarchies [My Copy] (May 2009) by Marc'Aurelio Ranzato posted to prototype-learning neural-networks by mthomure on 2009-11-10 01:50:57 as
	Optimal brain damage [My Copy] (1990), pp. 598-605. by Yann Le Cun, John S. Denker, Sara A. Solla posted to neural-networks by mthomure on 2009-11-10 01:29:49 as
	Challenges in statistical machine learning [My Copy] Statistica Sinica, Vol. 16, No. 2. (2006), pp. 307-322. by J. Lafferty, L. Wasserman posted to survey-paper machine-learning by mthomure on 2009-11-09 17:43:53 as
	Some methods for classification and analysis of multivariate observations [My Copy] In Proc. Fifth Berkeley Symp. on Math. Statist. and Prob., Vol. 1 (1967), pp. 281-297. by J. MacQueen posted to machine-learning by mthomure on 2009-11-07 23:11:02 as
	Sur la division des corps matériels en parties [My Copy] Bull. Acad. Polon. Sci. Cl. III. 4 (1956), pp. 801-804. by Hugo Steinhaus posted to machine-learning by mthomure on 2009-11-07 23:08:15 as
	Reducing the Dimensionality of Data with Neural Networks [My Copy] Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507. by G. E. Hinton, R. R. Salakhutdinov posted to neural-networks machine-learning dimensionality-reduction by mthomure on 2009-11-07 22:15:50 as along with 26 people and 9 groups pascanur jdoconnell __andy__ euclid austincarp babakap dakelley zheaton brian pdlug ana barry garyfeng mrkrause yama_tah neilh sdvillal dwf jwdietrich rgb mp4man josepe marcusfrean robincha ygarb ancechu structural_bioinformatics ReadingLab MathBio Bioinformatics Cybernetics pileWorks S-Lab Biomedical_Cybernetics AQUA-FONTIS-Study
	An Introduction to MCMC for Machine Learning [My Copy] Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 5-43. by Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan posted to mcmc machine-learning by mthomure on 2009-11-07 22:14:49 as along with 14 people and 1 group hgfernan xuzhe83 pqnga phil511 pdlug ldietz mshafiei wasteland93 bhaddow dowlingj markusd kozaki robotact delip Forest inventory and monitoring
	Singular value decomposition - a primer [My Copy] by S. Leach posted to tertiary-source linear-algebra by mthomure on 2009-11-07 21:11:15 as along with 5 people and 1 group pdlug yas pool007 robincha ulmer T_lab
	Notes on matrices and calculus [My Copy] (11 Oct 2003) by Stephen W. Semmes posted to tertiary-source linear-algebra by mthomure on 2009-11-07 21:07:16 as along with 2 people ansobol pdlug
	Some remarks about metric spaces [My Copy] (29 Nov 2003) by Stephen Semmes posted to tertiary-source linear-algebra by mthomure on 2009-11-07 21:07:06 as along with 2 people ansobol pdlug
	Elements of Linear and Real Analysis [My Copy] (18 Sep 2001) by Stephen Semmes posted to tertiary-source linear-algebra by mthomure on 2009-11-07 21:05:36 as along with 2 people ansobol pdlug
	On spectral clustering: Analysis and an algorithm [My Copy] (2001) by A. Ng, M. Jordan, Y. Weiss posted to machine-learning linear-algebra clustering by mthomure on 2009-11-07 21:03:11 as along with 12 people and 1 group jrodriguez mbregman ajay81 pdlug walkking albher dimatura kohei-h alanzhaocs delip varming ecome Computer_Graphics
	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [My Copy] In Proc. 18th International Conf. on Machine Learning (2001), pp. 282-289. by John Lafferty, Andrew Mccallum, Fernando Pereira posted to machine-learning graphical-model by mthomure on 2009-11-07 21:02:27 as along with 5 people nlarusso pdlug ldietz g000nz0 zeppe
	Graphical Models in a Nutshell [My Copy] In Introduction to Statistical Relational Learning (2007) by Daphne Koller, Nir Friedman, Lise Getoor, Ben Taskar posted to machine-learning graphical-model by mthomure on 2009-11-07 21:00:10 as along with 4 people buescher76 markusd pdlug ldietz
	Matrix Computations (Johns Hopkins Studies in Mathematical Sciences) [My Copy] (15 October 1996) by Gene H. Golub, Charles F. Van Loan posted to linear-algebra by mthomure on 2009-11-07 20:57:48 as along with 21 people and 4 groups thsant ctoraci beloviedo nilou kalti brian ppeeling stanley rpadams davidr joeionnojitsu jekky filippone eyliu sdvillal sprite bigbossman lcoquelle donade pdlug cgsanchez CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions [My Copy] (22 Sep 2009) by Nathan Halko, Per-Gunnar Martinsson, Joel A. Tropp posted to randomized-algorithm linear-algebra cluster-computing by mthomure on 2009-11-07 20:18:02 as along with 2 people havr pdlug
	Randomized algorithms for the low-rank approximation of matrices [My Copy] Proceedings of the National Academy of Sciences, Vol. 104, No. 51. (18 December 2007), pp. 20167-20172. by Edo Liberty, Franco Woolfe, Per-Gunnar Martinsson, Vladimir Rokhlin, Mark Tygert posted to randomized-algorithm linear-algebra cluster-computing by mthomure on 2009-11-07 20:17:12 as along with 5 people havr pdlug tmmurali briordan cjeans
	How To Choose a Good Scientific Problem [My Copy] Molecular Cell, Vol. 35, No. 6. (24 September 2009), pp. 726-728. by Uri Alon posted to thesis science advice by mthomure on 2009-11-07 20:14:01 as along with 123 people and 6 groups cefa gvdh penneyft welliegirl bertelsen thegoose xawen chriswillmott nellapower ishiken andreff claudiushauptmann cermak bmoores karthikraman applebyb mordiano Gorzomagnificent Horduna ajaymalik mmwoodman dbikard toszko timflutre cyounkin marsl0am jmzhuo dmorti renatomilani ibre kevinemamy Sergey_gerbek huberse ddbb12 seneca mattbiehl mmborges GeeSharpMinor jjjpppfff zhangfh andreacapocci melo_mcr aaltenburger iannis jichok josephjose TorstenWaldminghaus kshameer rudalert kvalyi duel_jetty allaves rabit fercosber hax123 iskanbasal livingthingdan poojamaj gonzalez amynmoore ramalldf pvdg sfalsharif dill2009 singhsh rogermug aha jarekadam Jansen04 cgravlee lkakinami anuragsethi flips robfree kaliczp yyfwuhan luciensamary elsantosneto mgaldino daveGerrard sandfire tnhh lesandrop munzmarci pdpcosta mxro wangngu myriasofo OliverHarriman AnthonySoprano robertlischke R_C_Cordeiro daforerog operon nandipati wenhaosparty jeffcrow leocmcheung fgibson snakehsu cisevol michaelbarton dna dullhunk danilov m_lew abellogin cxshang grahamc SantoshKalwar Xusheng leonardo roys benoitvalley zchen75 darshan druvus Asclepius Zephyrus songpku aalibes flieder pedromts Brain-like research group UWA Science Communication milab@yzu Information Integration Architecture BergmanLab Roswell Cancer Crosstalk
	How to write consistently boring scientific literature [My Copy] Oikos, Vol. 116, No. 5. (May 2007), pp. 723-727. by Kaj Sand-Jensen posted to writing science advice by mthomure on 2009-11-07 20:13:24 as along with 197 people and 14 groups gvdh kimbatchelor welliegirl DavidG67 nellapower jimo75 sachingarg claudiushauptmann jmzhuo Horduna toszko chriswillmott Thaverkamp ibre sfalsharif lafuente Sergey_gerbek Torsten_Holmer aaltenburger tminze mmborges Dannycoutinho soniapereira Anita13 simonhearne rudalert ulrichs duel_jetty nmsx TVB timsenior livingthingdan alhoori poojamaj letillett christianholz amynmoore pvdg leonardo cgravlee bhengeveld ansobol jrw proportional wendygarnica jsatkosk eumelus pdpcosta AnthonySoprano wasteland93 buchgeher lmichan NIlz sxs732 artaban421 kieranhood rabit pauljhurtado SantoshKalwar aldra zchen75 nbawia Zephyrus jgebbie lanmuzi amadeusstevenson akuhn metatheory Fneesen hkimura beete CamilleH luciensamary jcreed R_C_Cordeiro thenose cyounkin robertlischke bspackman lyss sebpaquet c_hughes klauso kaiserm tomhebbron tarokiritani nGrenier girabbit jaia CulCog alexander_bauer Gaetan cjhall mdwelsh231 sniklas polivares MurphysLab ckai1 tux2000 petko_bogdanov carelcad Tomste yangjustinc thegoose michaelbanks mrt2k9 marekrud ibuch pawelsobko klexa tunheim Elley AJCann amoreno operon barry jod999 guhjy pick600 leliavski ombamawu mjoach Publicase Thermaneutist gwallau tnhh signori birte bertelsen mmuecke Mohan-S Dori2008 konstantinos charoy flips arsyed sjefarrar rohanlowe syah jjray zzh1986 brownstudy abellogin fungal sgeuter jkglenn psique anphony ajaymalik jjrohal markusd conradlee mschmer gkoenig natstreet cisevol silberbauer ArtemPankin druvus allysonlister dullhunk VGreiff dbk ultrascichick ahaeusler rickl brian toomash orca Borelli cmunson lfriedl sterovetta maike echinotrix awooga yEvb0 scpeters jford pratap williamdwalker sjones pseudopharm cjeans sensesublime TaqSys soumitri GeeSharpMinor tumo rebeccamancy ascharle suizan kaniko erklaerbaer boosda hejibo randomname UWA Science Communication Med Anthro @ UF Scholarly Communication McCammon BergmanLab Khavkin's lab kdl Neuroscience STS ColDyn feminist_technoscience OrganizationResearch Enactment Academic Writing, Literacies and Discourse
	Introduction to Machine Learning: Class Notes 67577 [My Copy] (23 Apr 2009) by Amnon Shashua posted to tutorial machine-learning by mthomure on 2009-11-07 20:09:16 as along with 8 people and 1 group dpf mdreid christiand belion ansobol Thermaneutist pdlug ima Statistical Machine Learning
	A Tutorial on Spectral Clustering [My Copy] (2008) by Ulrike von Luxburg posted to machine-learning clustering by mthomure on 2009-11-07 20:08:02 as along with 2 people pdlug mapio
	Pulsed neural networks [My Copy] (1999) by Wolfgang Maass, Christopher M. Bishop posted to computational-neuroscience by mthomure on 2009-11-05 21:11:09 as
	Spiking Neuron Models [My Copy] (15 August 2002) by Wulfram Gerstner, Werner M. Kistler posted to computational-neuroscience by mthomure on 2009-11-05 20:56:54 as along with 14 people and 1 group fbaroni tkf flips aureli camster brian zinp Dax42 paulclinger edauce jborn superflunky napvasconcelos DeeJay dbk-lab
	Towards total scene understanding: Classification, annotation and segmentation in an automatic framework [My Copy] Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on (18 August 2009), pp. 2036-2043. by Li-Jia Li, R. Socher, Li Fei-Fei posted to mitchell-group cbir by mthomure on 2009-10-31 00:19:08 as
	Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes [My Copy] In Advances in Neural Information Processing Systems 16 (2004) by Kevin Murphy, Antonio Torralba, William T. Freeman edited by Sebastian Thrun, Lawrence Saul, Bernhard Schölkopf posted to mitchell-group cbir by mthomure on 2009-10-30 23:07:38 as
	Component-based car detection in street scene images [My Copy] (2004) by Brian Leung posted to no-tag by mthomure on 2009-10-18 00:34:44 as
	Categorization by Learning and Combining Object Parts [My Copy] In Advances in Neural Information Processing Systems 14 (2002), pp. 1239-1245. by B. Heisele, T. Serre, M. Pontil, T. Vetter, T. Poggio edited by T. G. Dietterich, S. Becker, Z. Ghahramani posted to no-tag by mthomure on 2009-10-18 00:26:58 as
	Neural Networks: A Comprehensive Foundation [My Copy] (16 July 1998) by Simon Haykin posted to prototype-learning machine-learning by mthomure on 2009-10-12 22:57:06 as along with 14 people fernandohbc sdonatti matteodefelice tomsharp beete Viperus ngiann gatsoulis gr650 paaen napvasconcelos MarkVanHeeswijk thefillm agunduz
	Learning invariance from transformation sequences [My Copy] Neural Comput., Vol. 3, No. 2. (June 1991), pp. 194-200. by Peter Földiák posted to prototype-learning los-alamos by mthomure on 2009-10-10 04:34:05 as along with 4 people and 1 group apcoates antolikjan rawphi rajatr vision-ng
	Learning Multiple Feature Representations from Natural Image Sequences [My Copy] Artificial Neural Networks — ICANN 2002 (2002), pp. 788-788. by Wolfgang Einhäuser, Christoph Kayser, Konrad Körding, Peter König posted to prototype-learning los-alamos by mthomure on 2009-10-10 04:25:02 as along with 1 person and 1 group rajatr vision-ng
	The Organization of Behavior: A Neuropsychological Theory [My Copy] (15 June 2002) by Donald O. Hebb posted to no-tag by mthomure on 2009-10-10 04:13:02 as along with 12 people guohaile hdobbins tomsharp napvasconcelos apeyrache shimazaki stain nelmor suizan DavidSchulz bdhont pbellec
	Probability and Statistical Inference [My Copy] (22 March 2000) by Nitis Mukhopadhyay posted to statistics probability by mthomure on 2009-10-10 00:30:45 as
	Efficient computation of sum-products on GPUs through software-managed cache [My Copy] In ICS '08: Proceedings of the 22nd annual international conference on Supercomputing (2008), pp. 309-318. by Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, John D. Owens posted to no-tag by mthomure on 2009-10-06 01:35:44 as
	An integrated model of visual attention using shape-based features [My Copy] (20 June 2009) by Sharat Chikkerur, Cheston Tan, Thomas Serre, Tomaso Poggio posted to visual-attention mitchell-group by mthomure on 2009-09-21 23:54:57 as
	Enhanced biologically inspired model [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (05 August 2008), pp. 1-8. by Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan, Xuelong Li posted to object-recognition mitchell-group by mthomure on 2009-09-21 23:46:27 as

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