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ICCV
2009
IEEE
8 years 8 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...
CORR
2010
Springer
253views Education» more  CORR 2010»
8 years 11 months ago
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCu...
ICONIP
1998
9 years 13 days ago
A Neural Network Model of Visual Object Recognition Impairments after Brain Damage
Dysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in w...
Neil Davey, Ray J. Frank, Tim M. Gale, Stella J. G...
ESANN
2007
9 years 16 days ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
DAGM
2001
Springer
9 years 3 months ago
A New Contour-Based Approach to Object Recognition for Assembly Line Robots
A complete processing chain for visual object recognition is described in this paper. The system automatically detects individual objects on an assembly line, identifies their typ...
Markus Suing, Lothar Hermes, Joachim M. Buhmann
NOLISP
2007
Springer
9 years 5 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
9 years 5 months ago
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot
Abstract— This paper considers two approaches to the problem of vision and self-localization on a mobile robot. In the first approach, the perceptual processing is primarily bot...
Daniel Stronger, Peter Stone
ICML
2005
IEEE
9 years 12 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
ECCV
2000
Springer
10 years 29 days ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ICCV
2007
IEEE
10 years 1 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
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