Alexander Ihler
Zitiert von
Zitiert von
Nonparametric belief propagation and facial appearance estimation
EB Sudderth, AT Ihler, WT Freeman, AS Willsky
Nonparametric belief propagation for self-localization of sensor networks
AT Ihler, JW Fisher, RL Moses, AS Willsky
IEEE Journal on Selected Areas in Communications 23 (4), 809-819, 2005
Fast collapsed gibbs sampling for latent dirichlet allocation
I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Loopy belief propagation: Convergence and effects of message errors
AT Ihler, AS Willsky
Journal of Machine Learning Research 6 (May), 905-936, 2005
Variational inference for crowdsourcing
Q Liu, J Peng, AT Ihler
Advances in neural information processing systems 25, 692-700, 2012
Adaptive event detection with time-varying poisson processes
A Ihler, J Hutchins, P Smyth
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
Distributed fusion in sensor networks
M Cetin, L Chen, JW Fisher, AT Ihler, RL Moses, MJ Wainwright, ...
IEEE Signal Processing Magazine 23 (4), 42-55, 2006
Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis
M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ...
Proceedings of the National Academy of Sciences 109 (29), 11758-11763, 2012
Circadian clock genes contribute to the regulation of hair follicle cycling
KK Lin, V Kumar, M Geyfman, D Chudova, AT Ihler, P Smyth, R Paus, ...
PLoS Genet 5 (7), e1000573, 2009
Particle belief propagation
A Ihler, D McAllester
Artificial intelligence and statistics, 256-263, 2009
The data on diversity
B Nelson
Communications of the ACM 57 (11), 86-95, 2014
Programming goes back to school
A Repenning
Communications of the ACM 55 (5), 38-40, 2012
Efficient multiscale sampling from products of Gaussian mixtures
AT Ihler, EB Sudderth, WT Freeman, AS Willsky
Advances in Neural Information Processing Systems, 1-8, 2004
Learning scale free networks by reweighted l1 regularization
Q Liu, A Ihler
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Variational algorithms for marginal MAP
Q Liu, A Ihler
The Journal of Machine Learning Research 14 (1), 3165-3200, 2013
Modeling count data from multiple sensors: a building occupancy model
J Hutchins, A Ihler, P Smyth
2007 2nd IEEE International Workshop on Computational Advances in Multi …, 2007
Fast planar correlation clustering for image segmentation
J Yarkony, A Ihler, CC Fowlkes
European Conference on Computer Vision, 568-581, 2012
Bounding the partition function using holder's inequality
Q Liu, AT Ihler
ICML, 2011
Learning to detect events with markov-modulated poisson processes
A Ihler, J Hutchins, P Smyth
ACM Transactions on Knowledge Discovery from Data (TKDD) 1 (3), 13-es, 2007
A deep neural network modeling framework to reduce bias in satellite precipitation products
Y Tao, X Gao, K Hsu, S Sorooshian, A Ihler
Journal of Hydrometeorology 17 (3), 931-945, 2016
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