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» A comparative study of two object recognition methods
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AEI
2007
119views more  AEI 2007»
15 years 4 months ago
Anxiety-based affective communication for implicit human-machine interaction
: An implicit human-machine interaction communication framework that is sensitive to human affective states is presented. The overall goal is to achieve detection and recognition o...
Pramila Rani, Nilanjan Sarkar, Julie Adams
BMVC
2010
14 years 11 months ago
"How old are you?" : Age Estimation with Tensors of Binary Gaussian Receptive Maps
In this paper we describe experiments with a method to automatically estimate human age from facial images. This system extends recent results with the use of a tensorial represen...
John A. Ruiz-Hernandez, James L. Crowley, Augustin...
ECCV
2006
Springer
16 years 6 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
HIS
2007
15 years 5 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
CVPR
2012
IEEE
13 years 6 months ago
Locally Orderless Tracking
Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both...
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avid...