Christian Walder
Christian Walder
CSIRO DATA61
Verified email at data61.csiro.au
Title
Cited by
Cited by
Year
Implicit surface modelling with a globally regularised basis of compact support
C Walder, B Schölkopf, O Chapelle
Computer Graphics Forum 25 (3), 635-644, 2006
78*2006
Sparse multiscale Gaussian process regression
C Walder, KI Kim, B Schölkopf
Proceedings of the 25th international conference on Machine learning, 1112-1119, 2008
642008
Support vector machines for business applications
BC Lovell, CJ Walder
Business Applications and Computational Intelligence, 267, 2006
282006
Chord2vec: Learning musical chord embeddings
S Madjiheurem, L Qu, C Walder
Proceedings of the constructive machine learning workshop at 30th conference …, 2016
262016
Diffeomorphic dimensionality reduction
C Walder, B Schölkopf
Advances in Neural Information Processing Systems, 1713-1720, 2009
222009
Implicit surface modelling as an eigenvalue problem
C Walder, O Chapelle, B Schölkopf
Proceedings of the 22nd international conference on Machine learning, 936-939, 2005
222005
Learning with transformation invariant kernels
C Walder, O Chapelle
Advances in Neural Information Processing Systems, 1561-1568, 2008
202008
Modelling symbolic music: Beyond the piano roll
C Walder
Asian Conference on Machine Learning, 174-189, 2016
192016
Markerless 3d face tracking
C Walder, M Breidt, H Bülthoff, B Schölkopf, C Curio
Joint Pattern Recognition Symposium, 41-50, 2009
172009
Improved classification using hidden Markov averaging from multiple observation sequences
RIA Davis, CJ Walder, BC Lovell
Queensland University of Technology 4, 89-92, 2002
102002
Efficient non-parametric Bayesian Hawkes processes
R Zhang, C Walder, MA Rizoiu, L Xie
arXiv preprint arXiv:1810.03730, 2018
82018
Fast Bayesian intensity estimation for the permanental process
CJ Walder, AN Bishop
arXiv preprint arXiv:1701.03535, 2017
82017
Monge blunts Bayes: Hardness results for adversarial training
Z Cranko, A Menon, R Nock, CS Ong, Z Shi, C Walder
International Conference on Machine Learning, 1406-1415, 2019
72019
Neural dynamic programming for musical self similarity
CJ Walder, D Kim
arXiv preprint arXiv:1802.03144, 2018
62018
Kernel based algebraic curve fitting
CJ Walder, BC Lovell
Allied Publishers 1 (1), 387-390, 2003
62003
Towards a maximum entropy method for estimating HMM parameters
CJ Walder, PJ Kootsookos, BC Lovell
Australian Pattern Recognition Society 1 (1), 45-49, 2003
62003
Algebraic Curve Fitting Support Vector Machines.
CJ Walder, BC Lovell, PJ Kootsookos
Dicta, 693-702, 2003
62003
Semi-supervised kernel pca
C Walder, R Henao, M Mørup, LK Hansen
arXiv preprint arXiv:1008.1398, 2010
52010
Lyrebird™: Developing Spoken Dialog Systems Using Examples
B Starkie, G Findlow, K Ho, A Hui, L Law, L Lightwood, S Michnowicz, ...
International Colloquium on Grammatical Inference, 309-311, 2002
52002
Computer assisted composition with recurrent neural networks
C Walder, D Kim
Asian Conference on Machine Learning, 359-374, 2017
42017
The system can't perform the operation now. Try again later.
Articles 1–20