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» Selectivity Estimation using Probabilistic Models
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151
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ISCAS
1994
IEEE
124views Hardware» more  ISCAS 1994»
15 years 9 months ago
Efficient Gabor Filter Design Using Rician Output Statistics
Gabor filters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single f...
Thomas P. Weldon, William E. Higgins, Dennis F. Du...
CIKM
2008
Springer
15 years 7 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
ISER
2004
Springer
158views Robotics» more  ISER 2004»
15 years 10 months ago
Collective Inspection of Regular Structures using a Swarm of Miniature Robots
We present a series of experiments concerned with the inspection of regular, engineered structures carried out using swarms of five to twenty autonomous, miniature robots, solely ...
Nikolaus Correll, Alcherio Martinoli
333
Voted
ICASSP
2011
IEEE
14 years 8 months ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...
121
Voted
NIPS
2007
15 years 6 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland