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» Gaussian Processes for Object Categorization
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IJCV
2008
223views more  IJCV 2008»
13 years 7 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Dirichlet Process Mixtures of Generalized Linear Models
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
Lauren Hannah, David M. Blei, Warren B. Powell
DAGM
2005
Springer
14 years 28 days ago
Object Categorization and the Need for Many-to-Many Matching
Abstract. Object recognition systems have their roots in the AI community, and originally addressed the problem of object categorization. These early systems, however, were limited...
Sven J. Dickinson, Ali Shokoufandeh, Yakov Keselma...
PAMI
2010
238views more  PAMI 2010»
13 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ACIVS
2009
Springer
14 years 2 months ago
Comparing Feature Matching for Object Categorization in Video Surveillance
In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMA...
Rob G. J. Wijnhoven, Peter H. N. de With