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» Improved Diffuse Reflection Models for Computer Vision
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91
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ICPR
2008
IEEE
15 years 7 months ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz
ICPR
2010
IEEE
15 years 2 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ICPR
2000
IEEE
16 years 1 months ago
Large Vocabulary Audio-Visual Speech Recognition Using Active Shape Models
Orthogonal information present in the video signal associated with the audio helps in improving the accuracy of a speech recognition system. Audio-visual speech recognition involv...
Tanveer A. Faruquie, Abhik Majumdar, Nitendra Rajp...
ICCV
2007
IEEE
15 years 2 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
118
Voted
SCALESPACE
2007
Springer
15 years 6 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...