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DAGM
2010
Springer
15 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
MM
2010
ACM
151views Multimedia» more  MM 2010»
15 years 7 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
PAMI
2010
273views more  PAMI 2010»
15 years 1 months ago
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney