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CVPR
2006
IEEE
16 years 6 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
167
Voted
ICIAP
2009
ACM
16 years 5 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CIVR
2004
Springer
141views Image Analysis» more  CIVR 2004»
15 years 10 months ago
Natural Scene Retrieval Based on a Semantic Modeling Step
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...
Julia Vogel, Bernt Schiele
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
15 years 10 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
ICIP
1998
IEEE
16 years 6 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin