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» Kernels for Semi-Structured Data
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92
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IJCV
2008
266views more  IJCV 2008»
15 years 20 days ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
PAA
2008
15 years 18 days ago
Distance-based discriminant analysis method and its applications
This paper proposes a method of finding a discriminative linear transformation that enhances the data's degree of conformance to the compactness hypothesis and its inverse. Th...
Serhiy Kosinov, Thierry Pun
94
Voted
PRL
1998
98views more  PRL 1998»
15 years 9 days ago
Density propagation for surface tracking
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
Nigel G. Sharp, Edwin R. Hancock
PLDI
2012
ACM
13 years 3 months ago
Diderot: a parallel DSL for image analysis and visualization
Research scientists and medical professionals use imaging technology, such as computed tomography (CT) and magnetic resonance imaging (MRI) to measure a wide variety of biological...
Charisee Chiw, Gordon Kindlmann, John Reppy, Lamon...
117
Voted
CAIP
2005
Springer
133views Image Analysis» more  CAIP 2005»
15 years 6 months ago
Finding the Number of Clusters for Nonparametric Segmentation
Non-parametric data representation can be done by means of a potential function. This paper introduces a methodology for finding modes of the potential function. Two different me...
Nikolaos Nasios, Adrian G. Bors