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» Dirichlet process mixture models with multiple modalities
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WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
15 years 4 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
14 years 7 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
ICIP
2006
IEEE
15 years 11 months ago
Segmenting Multiple Familiar Objects Under Mutual Occlusion
We address the problem of segmenting multiple similar objects by optimizing a Chan-Vese-like [1] functional with respect to a mixture of level set functions. We solve the variatio...
Qilong Zhang, Robert Pless
KDD
2002
ACM
164views Data Mining» more  KDD 2002»
15 years 10 months ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann
ECCV
2004
Springer
15 years 11 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...