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ACCV
2009
Springer
14 years 1 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
ICPR
2008
IEEE
14 years 4 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ICMCS
1999
IEEE
127views Multimedia» more  ICMCS 1999»
14 years 2 months ago
Achievable Performance of Digital Watermarking Systems
A variety of digital watermarking applications have emerged recently that require the design of systems for embedding one signal (the "embedded signal" or "watermar...
Brian Chen, Gregory W. Wornell
ICPR
2008
IEEE
14 years 4 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Embedded Key-Frame Extraction for CG Animation by Frame Decimation
This paper proposes a method for key-frame selection of captured motion data. In many cases, it is desirable to obtain a compact representation of the human motion. Key-framing is...
Shiyu Li, Masahiro Okuda, Shinichi Takahashi