Seuraa
Christian Walder
Christian Walder
CSIRO DATA61
Vahvistettu sähköpostiosoite verkkotunnuksessa data61.csiro.au - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
84*2006
Sparse multiscale Gaussian process regression
C Walder, KI Kim, B Schölkopf
Proceedings of the 25th international conference on Machine learning, 1112-1119, 2008
742008
Chord2vec: Learning musical chord embeddings
S Madjiheurem, L Qu, C Walder
Proceedings of the constructive machine learning workshop at 30th conference …, 2016
402016
Support vector machines for business applications
BC Lovell, CJ Walder
Business Applications and Computational Intelligence, 267, 2006
352006
Diffeomorphic dimensionality reduction
C Walder, B Schölkopf
Advances in Neural Information Processing Systems 21, 2008
312008
Modelling symbolic music: Beyond the piano roll
C Walder
Asian Conference on Machine Learning, 174-189, 2016
262016
Efficient non-parametric Bayesian Hawkes processes
R Zhang, C Walder, MA Rizoiu, L Xie
arXiv preprint arXiv:1810.03730, 2018
252018
Learning with transformation invariant kernels
C Walder, O Chapelle
Advances in Neural Information Processing Systems 20, 2007
232007
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
232005
Markerless 3d face tracking
C Walder, M Breidt, H Bülthoff, B Schölkopf, C Curio
Joint Pattern Recognition Symposium, 41-50, 2009
172009
Variational inference for sparse gaussian process modulated hawkes process
R Zhang, C Walder, MA Rizoiu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6803-6810, 2020
16*2020
Fast Bayesian intensity estimation for the permanental process
CJ Walder, AN Bishop
International Conference on Machine Learning, 3579-3588, 2017
162017
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
152019
Neural dynamic programming for musical self similarity
C Walder, D Kim
International Conference on Machine Learning, 5105-5113, 2018
102018
Improved classification using hidden Markov averaging from multiple observation sequences
RIA Davis, CJ Walder, BC Lovell
Queensland University of Technology 4, 89-92, 2002
92002
Kernel based algebraic curve fitting
CJ Walder, BC Lovell
Allied Publishers 1 (1), 387-390, 2003
72003
Learning to Continually Learn Rapidly from Few and Noisy Data
I Nicholas, H Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, ...
AAAI Workshop on Meta-Learning and MetaDL Challenge, 65-76, 2021
6*2021
Semi-supervised kernel pca
C Walder, R Henao, M Mørup, LK Hansen
arXiv preprint arXiv:1008.1398, 2010
62010
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
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Artikkelit 1–20