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ECCV
2010
Springer
15 years 11 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
ICPR
2008
IEEE
16 years 24 days ago
Full body tracking-based human action recognition
In this paper, we present a novel method for human action recognition with the combined global movement feature and local configuration feature. The human action is represented as...
Junxia Gu, Xiaoqing Ding, Shengjin Wang, Youshou W...
CVPR
2010
IEEE
16 years 2 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
MDAI
2005
Springer
15 years 12 months ago
Meta-data: Characterization of Input Features for Meta-learning
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
Ciro Castiello, Giovanna Castellano, Anna Maria Fa...
CVPR
2010
IEEE
16 years 2 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...