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» Multiple Component Learning for Object Detection
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
146
Voted

Publication
353views
14 years 10 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 1 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
IEEECIT
2006
IEEE
15 years 3 months ago
Generic Modeling and Annotation of the Dance Video Semantics
Dance is the real cultural wealth of any nation and dance media is the source for learning the dance steps by the present and future generation of students. Dance videos exhibit r...
Balakrishnan Ramadoss, Kannan Rajkumar
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
12 years 12 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...