References
Please browse
our papers
and
other
related works
below.
Publications on clustering
and classification via lossy coding:
- Classification
via Minimum Incremental Coding Length (MICL) [pdf (tech report)] [bibtex] [code].
John
Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum. accepted by Neural Information Processing Systems (NIPS),
2007.
- Natural Image Segmentation with Adaptive Texture and Boundary Encoding [pdf] [bibtex] [code] [website].
Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, S. Shankar Sastry,
Yi
Ma. Proceedings of Asian Conference on Computer Vision (ACCV) 2009, H. Zha, R.-i. Taniguchi, and S. Maybank (Eds.), Part I, LNCS 5994, pp.135--146, Springer. Recepient of Best Student Paper Award: Sang Uk Lee Award (News Coverage at CSL).
- Unsupervised Segmentation of
Natural Images via Lossy Data Compression [pdf] [bibtex] [code] [website].
Allen Y. Yang, John Wright, S. Shankar Sastry,
Yi
Ma. accepted by CVIU, 2007.
- Segmentation
of Multivariate Mixed Data via Lossy Coding and Compression
[pdf] [bibtex] [code]. Yi
Ma, Harm Derksen, Wei Hong and John Wright. IEEE
Transactions on Pattern Analysis and Machine
Intelligence, 2007.
Related
Work and Resources:
- MDL
on the Web [website].
Excellent online resource for classical Minimum
Description Length (MDL).
The approach outlined here differs from most MDL work in that we use
lossy coding, but the two techniques have much in common
philosophically.