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BVAI
2007
Springer
15 years 4 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
AIL
2006
130views more  AIL 2006»
14 years 10 months ago
Extractive summarisation of legal texts
We describe research carried out as part of a text summarisation project for the legal domain for which we use a new XML corpus of judgments of the UK House of Lords. These judgmen...
Ben Hachey, Claire Grover
CVPR
2011
IEEE
14 years 6 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ICPR
2010
IEEE
14 years 7 months ago
A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling
Hand gesture interpretation is an open research problem in Human Computer Interaction (HCI), which involves locating gesture boundaries (Gesture Spotting) in a continuous video se...
Manavender R. Malgireddy, Jason J. Corso, Sriranga...
BMVC
2002
15 years 6 days ago
Improving architectural 3D reconstruction by plane and edge constraining
This paper presents new techniques for improving the structural quality of automatically acquired architectural 3D models. Common architectural features like parallelism and ortho...
H. Cantzler, Robert B. Fisher, Michel Devy