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» Results Merging Algorithm Using Multiple Regression Models
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145
Voted
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 3 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
CVPR
2006
IEEE
16 years 4 months ago
Dynamics Based Robust Motion Segmentation
In this paper we consider the problem of segmenting multiple rigid motions using multi?frame point correspondence data. The main idea of the method is to group points according to...
Roberto Lublinerman, Mario Sznaier, Octavia I. Cam...
131
Voted
SMA
2003
ACM
138views Solid Modeling» more  SMA 2003»
15 years 7 months ago
Associativity between feature models across domains
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
S. Subramani, Balan Gurumoorthy
131
Voted
IJPRAI
2008
144views more  IJPRAI 2008»
15 years 2 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
155
Voted
CVPR
2005
IEEE
15 years 4 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...