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» Object correspondence as a machine learning problem
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ECCV
2008
Springer
14 years 7 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...
JGO
2010
117views more  JGO 2010»
13 years 4 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
PAMI
2010
273views more  PAMI 2010»
13 years 15 days ago
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
ICCS
2005
Springer
13 years 11 months ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICALT
2006
IEEE
13 years 11 months ago
Using IMS Learning Design to model collaborative learning activities
IMS Learning Design provides a counter to the trend towards designing for lone-learners reading from screens. It guides staff and educational developers to start not with content,...
Colin Tattersall