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» FORMS: A Flexible Object Recognition and Modelling System
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CVPR
2005
IEEE
14 years 11 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard
CVPR
2010
IEEE
14 years 5 months ago
Toward Coherent Object Detection And Scene Layout Understanding
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
Yingze Bao, Min Sun, Silvio Savarese
CIKM
2005
Springer
14 years 2 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
NIPS
2007
13 years 10 months ago
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
In online handwriting recognition the trajectory of the pen is recorded during writing. Although the trajectory provides a compact and complete representation of the written outpu...
Alex Graves, Santiago Fernández, Marcus Liw...
TSMC
2008
98views more  TSMC 2008»
13 years 9 months ago
A New Active Visual System for Humanoid Robots
In this paper, a new active visual system is developed, which is based on bionic vision and is insensitive to the property of the cameras. The system consists of a mechanical platf...
De Xu, Youfu Li, Min Tan, Yang Shen