Result 1 to 14 of 14 total
SpicyMKL: a fast algorithm for multiple kernel learning with thousands of kernels. (English)
Mach. Learn. 85, No. 1-2, 77-108 (2011).
1
Large scale real-life action recognition using conditional random fields with stochastic training. (English)
Huang, Joshua Zhexue (ed.) et al., Advances in knowledge discovery and data mining. 15th Pacific-Asia conference, PAKDD 2011, Shenzhen, China, May 24‒27, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-20846-1/pbk). Lecture Notes in Computer Science 6635. Lecture Notes in Artificial Intelligence, 222-233 (2011).
2
Real-time change-point detection using sequentially discounting normalized maximum likelihood coding. (English)
Huang, Joshua Zhexue (ed.) et al., Advances in knowledge discovery and data mining. 15th Pacific-Asia conference, PAKDD 2011, Shenzhen, China, May 24‒27, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-20846-1/pbk). Lecture Notes in Computer Science 6635. Lecture Notes in Artificial Intelligence, 185-197 (2011).
3
Tensor factorization using auxiliary information. (English)
Gunopulos, Dimitrios (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2011, Athens, Greece, September 5‒9, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23782-9/pbk). Lecture Notes in Computer Science 6912. Lecture Notes in Artificial Intelligence, 501-516 (2011).
4
Tensor factorization using auxiliary information (English)
ECML/PKDD (2), 501-516 (2011).
5
Large scale real-life action recognition using conditional random fields with stochastic training (English)
PAKDD (2), 222-233 (2011).
6
Real-time change-point detection using sequentially discounting normalized maximum likelihood coding (English)
PAKDD (2), 185-197 (2011).
7
A fast augmented Lagrangian algorithm for learning low-rank matrices (English)
ICML, 1087-1094 (2010).
8
Global analytic solution for variational Bayesian matrix factorization (English)
NIPS, 1768-1776 (2010).
9
Classifying matrices with a spectral regularization (English)
ICML, 895-902 (2007).
10
Invariant common spatial patterns: alleviating nonstationarities in brain-computer interfacing (English)
NIPS (2007).
11
Optimizing spectral filters for single trial EEG classification. (English)
Franke, Katrin (ed.) et al., Pattern recognition. 28th DAGM symposium, Berlin, Germany, September 12‒14, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-44412-1/pbk). Lecture Notes in Computer Science 4174, 414-423 (2006).
12
Optimizing spectral filters for single trial EEG classification (English)
DAGM-Symposium, 414-423 (2006).
13
Logistic regression for single trial EEG classification (English)
NIPS, 1377-1384 (2006).
14
Result 1 to 14 of 14 total
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