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» Learning Generic Prior Models for Visual Computation
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MICCAI
2007
Springer
16 years 22 days ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
TSD
2009
Springer
15 years 6 months ago
On a Computational Model for Language Acquisition: Modeling Cross-Speaker Generalisation
Abstract. The discovery of words by young infants involves two interrelated processes: (a) the detection of recurrent word-like acoustic patterns in the speech signal, and (b) cros...
Louis ten Bosch, Joris Driesen, Hugo Van Hamme, Lo...
CVPR
2008
IEEE
16 years 1 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
ICIP
2004
IEEE
16 years 1 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio
COGSCI
2002
99views more  COGSCI 2002»
14 years 11 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland