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IJCAI
2007
13 years 10 months ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis
ACCV
2009
Springer
13 years 6 months ago
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-tempora...
Chunfeng Yuan, Weiming Hu, Xi Li, Stephen J. Mayba...
ICML
2005
IEEE
14 years 9 months ago
Large margin non-linear embedding
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
Alexander Zien, Joaquin Quiñonero Candela
CSREAESA
2006
13 years 10 months ago
Static Program Partitioning for Embedded Processors
Modern processors have a small on-chip local memory for instructions. Usually it is in the form of a cache but in some cases it is an addressable memory. In the latter, the user is...
Bageshri Sathe, Uday P. Khedker
ISVC
2005
Springer
14 years 2 months ago
Riemannian Mean Curvature Flow
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
Raúl San José Estépar, Steven...