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ICPR
2010
IEEE
13 years 7 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICPR
2004
IEEE
14 years 8 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
CVIU
2011
12 years 11 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
AI
1998
Springer
13 years 7 months ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander
IJVR
2008
125views more  IJVR 2008»
13 years 7 months ago
The Virtual Instructor Intervention: A Case in LEGO Robotics
Solving robotic exercises is a difficult task for students because the modeling activity involved requires students to comprehend programming, robotic design concepts as well as ba...
Pauline H. Mosley, Jayfus T. Doswell