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» Learning the Face Space - Representation and Recognition
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ECCV
2002
Springer
15 years 11 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
AE
2007
Springer
15 years 4 months ago
Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns
A simple mechanism is presented for the emergence of recognition patterns that are used by individuals to find each other and mate. The genetic component determines the brain of an...
Nicolas Brodu
AMFG
2005
IEEE
164views Biometrics» more  AMFG 2005»
15 years 3 months ago
Face View Synthesis Across Large Angles
Pose variations, especially large out-of-plane rotations, make face recognition a difficult problem. In this paper, we propose an algorithm that uses a single input image to accura...
Jiang Ni, Henry Schneiderman
ICMI
2009
Springer
198views Biometrics» more  ICMI 2009»
15 years 4 months ago
Detecting, tracking and interacting with people in a public space
We have built a system that engages naive users in an audiovisual interaction with a computer in an unconstrained public space. We combine audio source localization techniques wit...
Sunsern Cheamanunkul, Evan Ettinger, Matt Jacobsen...
ICPR
2000
IEEE
15 years 2 months ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen