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CVPR
2005
IEEE
14 years 11 months ago
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
Ahmed M. Elgammal
ICML
2009
IEEE
14 years 10 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
BMVC
1998
13 years 11 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
CE
2008
94views more  CE 2008»
13 years 9 months ago
Using mobile communication technology in high school education: Motivation, pressure, and learning performance
Motivation and pressure are considered two factors impacting vocational senior high school student learning. New communication technology, especially mobile communication technolo...
Pei-Luen Patrick Rau, Qin Gao, Li-Mei Wu
ICPR
2010
IEEE
13 years 7 months ago
Learning Scene Semantics Using Fiedler Embedding
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
Jingen Liu, Saad Ali