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ICML
2010
IEEE
15 years 1 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
CICLING
2010
Springer
15 years 1 months ago
A Distributional Semantics Approach to Simultaneous Recognition of Multiple Classes of Named Entities
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...
Siddhartha Jonnalagadda, Robert Leaman, Trevor Coh...
BMCBI
2007
127views more  BMCBI 2007»
15 years 28 days ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
98
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CVIU
2010
89views more  CVIU 2010»
15 years 27 days ago
Spherical approximation for multiple cameras in motion estimation: Its applicability and advantages
Estimating motions of a multi-camera system which may not have overlapping fields of view is generally complex and computationally expensive because of the non-zero offset between...
Jun-Sik Kim, Myung Hwangbo, Takeo Kanade
CORR
2007
Springer
111views Education» more  CORR 2007»
15 years 24 days ago
Comments on "Design and performance evaluation of load distribution strategies for multiple loads on heterogeneous linear daisy
Min, Veeravalli, and Barlas have proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one or more ...
Matthieu Gallet, Yves Robert, Frédér...