[Research
Interests] [Resume] [Art Image
Retrieval] [Publications] [Rsearch Resource] [Contact
Me] [Yan]
[Friends]
Research Interests
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· Statistic
machine
learning and data mining
· Hidden
variable analysis using Baysian inference
· Intelligent
text and image retrieval (including hybrid supervised / unsupervised learning,
active learning)
· Collaborative
filtering with applications in recommender systems
· Speech
separation and noise reduction with Wiener filtering
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In this research, we wish to demonstrate that
artificial intelligence technology can do a fancy job to help people enjoy the
beauty of art paintings!
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- The proposal was raised in Aug. 2002 when I visited Dr. Wei-Ying Ma
and Dr. Hong-Jiang Zhang at Microsoft
Research Asia at Beijing.
- As an important part of this research, we need to accumulate many
users' opinions, i.e. like or dislike, on a set of 642 painting images.
Therefore we need your kind help to attend an online
survey, in which
we will randomly present some art images to you and you just need to
click 'like' or 'dislike' according to your opinions. Thanks to Ms.
Zhao Xu and Mr. Franz Krojer's help, now the on-line survey is open! [enter]
new!
- Survey is not the end. Currently we are building a web-based art
image retrieval system, which can help you find your favorite art
images once you provide several liked or disliked images. And we also
plan to include more art images in the near future. So, many interesting things are
up-coming.....
- All the images we presented here are purely for scientific research
purpose. Any download for profitable purpose is not allowed.
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Publications
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Informal
Writting-Up:
· K.
Yu, V. Tresp and A. Schwaighofer, A Generalized Principal Component
Analysis for Mixed Data, 2003
· V.
Tresp, K. Yu and A. Schwaighofer, An
Infinite-Dimensional Multinomial Model with Applications to Hierarchical Bayes, 2003
PhD
Thesis:
Kai
Yu, Statistical Learning Approaches to Information Filtering,
submitted dissertation for Doctoral degree in Computer Science, University of
Munich, Dec.2003.
Defense
Committee:
Reviewers: Prof.
Dr. Hans-Peter Kriegel (LMU), Prof.
Dr. Jiawei Han (UIUC), Dr. Volker Tresp
(Siemens)
Examinators: Prof.
Dr. Martin Wirsing (LMU), Prof.
Dr. Ralf Zimmer (LMU)
Journal Papers
· K.
Yu, A. Schwaighofer, V. Tresp, X. Xu, H.-P. Kriegel: Probabilistic
Memory-Based Collaborative Filtering, IEEE Transactions on Knowledge and Data Engineering
(TKDE), Vol.16, No.1, pp. 56--69, special
issue on Mining and Searching the Web, 2003. [abstract]
[draft]
·
K. Yu, X. Xu, M. Ester,
H.-P. Kriegel: Feature Weighting and Instance Selection for
Collaborative Filtering: An Information-Theoretic Approach, Knowledge
and Information Systems (KAIS), Springer-Verlag, Vol. 5, No. 2, April, 2003. [abstract]
International
Conference Proceedings
· K. Yu, V. Tresp, and S. Yu, A Nonparametric Hierarchical Bayesian Framework for Information Filtering,
to appear in Proceedings of 27th Annual International ACM Conference on
Research and Development in Information Retrieval (SIGIR 2004),
Sheffield,
UK, July 25 - 29, 2004.
· K. Yu, and V. Tresp, Heterogenous Data Fusion via a Probabilistic Latent-Variable Model, in Proceedings of
17th International Conference on Architecture of Computing Systems - Organic and Pervasive Computing (ARCS 2004),
Lecture Notes in Computer Science (LNCS 2981), Springer Verlag, Augsburg, Germany, March, 2004.
·
K. Yu, W.-Y. Ma, V. Tresp, Z. Xu, X. He, H.J.
Zhang and H.-P. Kriegel, Knowing a Tree from the Forest: Art Image Retrieval
using a Society of Profiles, Proceedings of 11th Annual ACM
International Conference on Multimedia (ACM Multimedia'03),
Berkeley, CA, USA, November 2-8, 2003. [pdf]
·
K. Yu, A. Schwaighofer, V. Tresp, W.-Y. Ma,
H.J. Zhang, Collaborative Ensemble Learning: Combining Collaborative and
Content-Based Information Filtering via Hierarchical Bayes, Proceedings of 19th
International Conference on Uncertainty in Artificial Intelligence (UAI'03),
Acapulco,
Mexico, August 7-10, 2003. [pdf]
· Z.
Xu, K. Yu V. Tresp, X. Xu, and J. Wang: Representative Sampling for
Text Classification using Support Vector Machines, the 25th
European Conference on Information Retrieval Research (ECIR'03), Lecture
Notes in Computer Science (LNCS 2633), Springer, Pisa, Italy
- April 14-16, 2003
.
[pdf]
· Z.
Xu, X. Xu, K. Yu, V. Tresp, and J. Wang: A Hybrid Relevance-Feedback Approach
to Text Retrieval, the 25th European Conference on Information
Retrieval Research (ECIR'03), Lecture Notes in Computer Science (LNCS
2633), Springer, Pisa, Italy - April 14-16, 2003 [pdf]
· K.
Yu, X. Xu, A. Schwaighofer, V. Tresp, and H.-P. Kriegel: Removing Redundancy
and Inconsistency in Memory-Based Collaborative Filtering, Proc. ACM
11th Int. Conf. on Information and Knowledge Management (CIKM'02), McLean, VA,
Nov. 2002. [pdf]
· K.
Yu,
X. Xu, J. Tao,
M. Ester, and H.-P. Kriegel: Instance Selection Techniques
for Memory-Based Collaborative Filtering, Proc. 2nd SIAM Int. Conf. on
Data Mining (SDM'02), Arlington, VA, 2002. [pdf]
· K.
Yu, X. Xu, M. Ester, and H.-P. Kriegel: Selecting Relevant Instances for
Efficient and Accurate Collaborative Filtering, Proc. ACM 10th Int.
Conf. on Information and Knowledge Management (CIKM'01), pp. 247-254, 2001.
[pdf]
· K.
Yu, Z. Wen, X. Xu, and M. Ester: Feature Weighting and Instance Selection for
Collaborative Filtering, Proc. 2nd Int. Workshop on Management of
Information on the Web - Web Data and Text Mining (MIW'01), pp. 285-290, 2001.
[pdf]
· Y.
Gao,
J. Lu, K. Yu,
and B.
Xu: Iterative Noise Cancellation with
Applications to Speech Enhancement, in Proceedings of the 26th IEEE
Conf. on Acoustics, Speech and Signal Processing (ICASSP'01), vol. 1, 2001, Salt
Lake City, USA, 2001
[pdf]
· K.
Yu, B. Xu, M. Dai, and C. Yu: Suppressing Cocktail Party Noise for
Speech Acquisition, The 5th International Conference on
Signal Processing (ICSP'00), Beijing China, Aug. 21-25, 2000.
· M.
Dai, K. Yu, B. Xu, and C. Yu:
Low
SNR Robust Chinese Tone Extraction Based on Human Auditory Model, The
5th International Conference on Signal Processing (ICSP'00),
Beijing China, Aug.
21-25, 2000.
Selected
Publications Written in Chinese
·
K. Yu, B. Xu, M. Dai,
C. Yu: Iterative Speech Separation Controlled by
Difference Phase - Correlation - Based Criterion Function, Journal of
the Acoustics Society of China, Vol.04, 2001 (in Chinese).
·
K. Yu, M. Dai,
B. Xu, Y. Fang, C. Yui: Separation
of Co-talker Signals Using Iterative Wiener Filter, the 9th China
National Conference of Signal Processing (Best Paper Award), Journal of
the Signal Processing Society of China, Vol. 15, 1999 (in
Chinese)
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Email:
kai.yu(at)gmx.net,
yu_k(at)dbs.informatik.uni-muenchen.de , kai.yu.external(at)mchp.siemens.de
( Note: please replace (at) by @ )
Tel:
+49 89 636 47926
Fax: +49 89 636 45456
Home
Page: http://www.dbs.informatik.uni-muenchen.de/~yu_k/
http://www.geocities.com/kai_fisher/
- Last updated April. 6th, 2004.
