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» Reformulating Constraint Models Using Input Data
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ECCV
2006
Springer
15 years 11 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
SMA
2003
ACM
262views Solid Modeling» more  SMA 2003»
15 years 2 months ago
t-FFD: free-form deformation by using triangular mesh
Soft tissue deformation based on tensegric modeling is proposed. This modeling is especially applicable for human females to reform/alter their body shape using tailor-made underg...
Kazuya G. Kobayashi, Katsutoshi Ootsubo
NAACL
2001
14 years 11 months ago
Unsupervised Learning of Name Structure From Coreference Data
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
Eugene Charniak
GIS
2006
ACM
15 years 10 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...
CVPR
2012
IEEE
13 years 3 days ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs