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» Meta-Evaluation of Image Segmentation Using Machine Learning
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ACCV
2009
Springer
14 years 2 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
13 years 7 months ago
Merging and smoothing machining boundaries on cutter location surfaces
In region machining, neighbouring regions may be close together, but disconnected. Boundary curves may also have unwanted geometric artifacts caused by approximation and discretis...
Weishi Li, Ralph R. Martin, Frank C. Langbein
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
ICML
2010
IEEE
13 years 8 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay
ACCV
1998
Springer
13 years 12 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa