Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data
Classification with big data has become one of the latest trends when talking about learning
from the available information. The data growth in the last years has rocketed the interest in …
from the available information. The data growth in the last years has rocketed the interest in …
High-level event recognition in unconstrained videos
The goal of high-level event recognition is to automatically detect complex high-level events
in a given video sequence. This is a difficult task especially when videos are captured under …
in a given video sequence. This is a difficult task especially when videos are captured under …
System and method for data stream processing
M Hsu, Q Chen - US Patent 8,260,803, 2012 - Google Patents
A method and system for processing a data stream are described. The method executes,
until the occurrence of a cut condition, a map function from a set of query processing steps to …
until the occurrence of a cut condition, a map function from a set of query processing steps to …
[PDF][PDF] HIPI: a Hadoop image processing interface for image-based mapreduce tasks
C Sweeney, L Liu, S Arietta… - Chris. university of …, 2011 - jasonlawrence.info
The amount of images being uploaded to the internet is rapidly increasing, with Facebook
users uploading over 2.5 billion new photos every month [Facebook 2010], however …
users uploading over 2.5 billion new photos every month [Facebook 2010], however …
[書籍][B] Big data: Algorithms, analytics, and applications
As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …
is the time for organizations to rethink how they digest that data. Through advanced …
Efficient map/reduce-based dbscan algorithm with optimized data partition
BR Dai, IC Lin - 2012 IEEE Fifth international conference on …, 2012 - ieeexplore.ieee.org
DBSCAN is a well-known algorithm for density-based clustering because it can identify the
groups of arbitrary shapes and deal with noisy datasets. However, with the increasing …
groups of arbitrary shapes and deal with noisy datasets. However, with the increasing …
Video big data analytics in the cloud: A reference architecture, survey, opportunities, and open research issues
The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …
unprecedented amount of data. Consequently, the world has stepped into the era of big …
Using MapReduce for large-scale medical image analysis
In this paper, MapReduce is used to speed up and make possible three large-scale medical
image processing use-cases:(i) parameter optimization for lung texture classification using …
image processing use-cases:(i) parameter optimization for lung texture classification using …
Ad-hoc cloudlet based cooperative cloud gaming
As the game industry matures, processing complex game logics in a timely manner is no
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …