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» Discriminative Mixed-Membership Models
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BMVC
2010
15 years 2 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
171
Voted
ICIP
2000
IEEE
16 years 5 months ago
Definition of a Spatial Entropy and its Use for Texture Discrimination
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the ...
Florence Tupin, Henri Maître, Marc Sigelle
ICPR
2004
IEEE
16 years 5 months ago
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically...
Catherine Laporte, Rupert Brooks, Tal Arbel
ICML
2007
IEEE
16 years 5 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...
ICPR
2008
IEEE
15 years 10 months ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy