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» Recognition Using Visual Phrases
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ICML
2005
IEEE
16 years 2 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
149
Voted
IBPRIA
2009
Springer
15 years 6 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
85
Voted
CHI
2008
ACM
16 years 2 months ago
On the benefits of confidence visualization in speech recognition
In a typical speech dictation interface, the recognizer's bestguess is displayed as normal, unannotated text. This ignores potentially useful information about the recognizer...
Keith Vertanen, Per Ola Kristensson
RAS
2010
136views more  RAS 2010»
15 years 7 days ago
A realistic benchmark for visual indoor place recognition
An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate loc...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...
WAPCV
2004
Springer
15 years 7 months ago
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks...
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener,...