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129
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CVPR
2010
IEEE
15 years 11 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
185
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
92
Voted
ICMCS
2007
IEEE
117views Multimedia» more  ICMCS 2007»
15 years 9 months ago
Learning-Based Perceptual Image Quality Improvement for Video Conferencing
It is well known that in professional TV show filming, stage lighting has to be carefully designed in order to make the host and the scene look visually appealing. The lighting a...
Zicheng Liu, Cha Zhang, Zhengyou Zhang
112
Voted
DAGM
2007
Springer
15 years 9 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
154
Voted
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 9 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang