✦ LIBER ✦

Learning to Recognize Visual Dynamic Events from Examples

✍ Scribed by Massimiliano Pittore; Marco Campani; Alessandro Verri

Book ID: 110258756
Publisher: Springer US
Year: 2000
Tongue: English
Weight: 158 KB
Volume: 38
Category: Article
ISSN: 0920-5691
DOI: 10.1023/a:1008114700759

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On learning to recognize 3-D objects fro

On learning to recognize 3-D objects from examples

✍ Edelman, S. 📂 Article 📅 1993 🏛 IEEE 🌐 English ⚖ 698 KB

Learning of visual modules from examples

Learning of visual modules from examples: A framework for understanding adaptive visual performance

✍ Tomaso Poggio; Shimon Edelman; Manfred Fahle 📂 Article 📅 1992 🏛 Elsevier Science ⚖ 999 KB

Networks that solve specific visual tasks, such as the evaluation of spatial relations with hyperacuity precision, can be easily synthesized from a small set of examples. The present paper describes a series of simulated psychophysical experiments that replicate human performance in hyperacuity task

Using expectation-maximisation to learn

Using expectation-maximisation to learn dynamical models from visual data

✍ Ben North; Andrew Blake 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 259 KB

Dynamic Compensation of Nonlinear Sensor

Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach

✍ Marconato, A.; Mingqing Hu; Boni, A.; Petri, D. 📂 Article 📅 2008 🏛 IEEE 🌐 English ⚖ 223 KB

A way to recognize dynamic visual images

A way to recognize dynamic visual images on the basis of group transformations

✍ M. N. Favorskaya 📂 Article 📅 2011 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 182 KB

Cognitive strategies for learning from s

Cognitive strategies for learning from static and dynamic visuals

✍ D. Lewalter 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 111 KB