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» INSPIRE: A New Method of Mapping Information Spaces
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CVPR
2010
IEEE
15 years 6 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
CN
1999
103views more  CN 1999»
14 years 9 months ago
Topology Information Condensation in Hierarchical Networks
Inspired by the PNNI protocol of the ATM Forum, this work focuses on the problem of node aggregation within peer groups and link aggregation between peer groups. It is assumed tha...
Piet Van Mieghem
ACCV
2006
Springer
15 years 3 months ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
IV
1999
IEEE
96views Visualization» more  IV 1999»
15 years 2 months ago
A Semantic-Centric Approach to Information Visualization
A semantic-centric approach to information visualization is described in this paper. In contrast to the conventional document-centric approaches, the semantic-centric approach foc...
Chaomei Chen, Les Carr
ALT
2004
Springer
15 years 6 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala