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CVPR
2012
IEEE
7 years 4 months ago
Curvature-based regularization for surface approximation
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
Carl Olsson, Yuri Boykov
CVPR
2011
IEEE
8 years 9 months ago
A Closed Form Solution to Robust Subspace Estimation and Clustering
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
Paolo Favaro, René, Vidal, Avinash Ravichandran
NAACL
2010
8 years 11 months ago
Using Entity-Based Features to Model Coherence in Student Essays
We show how the Barzilay and Lapata entitybased coherence algorithm (2008) can be applied to a new, noisy data domain
Jill Burstein, Joel R. Tetreault, Slava Andreyev
TIP
1998
103views more  TIP 1998»
9 years 1 months ago
Orientation diffusions
Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...
Pietro Perona
VISAPP
2007
9 years 2 months ago
Simultaneous robust fitting of multiple curves
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song ...
KDID
2004
140views Database» more  KDID 2004»
9 years 2 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
ESA
2008
Springer
111views Algorithms» more  ESA 2008»
9 years 3 months ago
Parallel Imaging Problem
Metric Labeling problems have been introduced as a model for understanding noisy data with pair-wise relations between the data points. One application of labeling problems with pa...
Thành Nguyen, Éva Tardos
ALT
1998
Springer
9 years 5 months ago
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) ...
John Case, Sanjay Jain
CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
9 years 6 months ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
DAWAK
2009
Springer
9 years 6 months ago
Arguing from Experience to Classifying Noisy Data
A process, based on argumentation theory, is described for classifying very noisy data. More specifically a process founded on a concept called “arguing from experience” is des...
Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capo...
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