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» Constructing Visual Models with a Latent Space Approach
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CVPR
2009
IEEE
16 years 8 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
VISUALIZATION
2002
IEEE
15 years 6 months ago
PMR: Point to Mesh Rendering, A Feature-Based Approach
Within the field of computer graphics and visualization, it is often necessary to visualize polygonal models with large number of polygons. Display quality is mandatory, but it i...
Tamal K. Dey, James Hudson
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
16 years 1 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
AAAI
2010
14 years 11 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
ICCV
2007
IEEE
16 years 3 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid