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» An objective evaluation criterion for clustering
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DAGM
2010
Springer
13 years 8 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
BMVC
2010
13 years 5 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh
CVPR
2011
IEEE
12 years 11 months ago
Track to the future: Spatio-temporal video segmentation with long-range motion cues
Video provides not only rich visual cues such as motion and appearance, but also much less explored long-range temporal interactions among objects. We aim to capture such interact...
José, Lezama, Karteek Alahari, Josef Sivic, Ivan ...
ACL
2010
13 years 5 months ago
Unsupervised Event Coreference Resolution with Rich Linguistic Features
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering c...
Cosmin Adrian Bejan, Sanda M. Harabagiu
SSD
2007
Springer
131views Database» more  SSD 2007»
14 years 1 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester