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ICCV
2007
IEEE
14 years 9 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
CGF
1998
213views more  CGF 1998»
13 years 7 months ago
Interactive Construction and Animation of Layered Elastically Deformable Characters
An interactive system is described for creating and animating deformable 3D characters. By using a hybrid layered model of kinematic and physics-based components together with an ...
Russell Turner, Enrico Gobbetti
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
14 years 4 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
AMFG
2007
IEEE
255views Biometrics» more  AMFG 2007»
13 years 11 months ago
A New Probabilistic Model for Recognizing Signs with Systematic Modulations
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
Sylvie C. W. Ong, Surendra Ranganath
PRL
2011
13 years 2 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher