high-level features computation
Acute: high level programming language design for distributed computation
... In this work we seek to remedy this lack, concentrating on what must be added to ML-like (typed, call-by-value, higher-order) lan- guages to support typed distributed programming. We have defined and implemented a ...
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A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models
... of high performance computing (HPC) and graphics processing units (GPU), present an enormous computation resource for Large data transactions (big data) that require parallel processing for robust and ...
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High speed, multi scale tracing of curvilinear features with automated scale selection and enhanced orientation computation
... substantially advanced in that the required processing time was dramatically reduced while at the same time multi-scale processing was implemented. Our algorithm carries out line point identification and line tracing ...
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Improving Mapreduce For Mining Evolving Big Data Using Top K Rules
... grain incremental engine, a general-purpose iterative model, and a set of effective techniques for incremental iterative computation. The new model uses a modified version of the A-priori algorithm, named as Top K ...
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City Wide Emergency/Disaster Coordinating System via Short Messaging Services (SMS)
... advanced features that utilized purely SMS text, e-mail communication messages, voice and desktop notification as the basis of communication for emergency mass notifications, campus alert and incident warning ...
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Specific object recognition using iso luminal contours : a thesis presented in fulfilment of the requirements for the degree of Master of Engineering in Mechatronics at Massey University, Palmerston North, New Zealand
... higher level features were extracted. Basic geometric features were used as the intermediate data, consisting of lines, arcs, and lobes (a custom type suited to describe ...The high ...
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Runtime Code Generation and Data Management for Heterogeneous Computing in Java
... The computation is executed as an iterative process until a termination condition is met (see line ...the computation inside the iteration where the centers variable can be access inside the lambda ...
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A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections
... ABSTRACT: In recent years, much work has been performed to summarize meeting recordings, sport videos, movies, pictorial storylines and social multimedia. Automatic text summarization is an essential natural language ...
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Retrieval and blur detection of images in mobile display devices using recent technologies
... Images of high (or) super resolution will be good to see. And having excellent clarity in all kinds of devices. Nowadays all mobile displays are not providing the users expecting clarity. Snaps taken from the ...
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Style classification and visualization of art painting’s genre using self-organizing maps
... In this paper, the self-organizing map (SOM) proposed by Kohonen is used in order to classify the styles using the extracted features from "Feature extraction for art paint- ings" section. As the ...
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Title: Privacy-Preserving Knowledge Discovery in Distributed Databases
... important features from the input data and the output become input to the ...of features and extracted only the affective features ...the features to the ...
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General features of the retinal connectome determine the computation of motion anticipation
... have high conduction velocities (Gouras, 1969) and are involved in coding the spatial location of an object rel- ative to the organism, a computation that would obviously benefit from motion ...key ...
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Runtime Support for Scalable Programming in Java
... During construction of a RemapSkeleton schedule, all send messages, receive messages, and internal copy operations implied by execution of the schedule are enumerated and stored in light-weight data structures. These ...
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Feature Learning with Multi-objective Evolutionary Computation in the generation of Acoustic Features
... the features with low fitness do not survive throughout the iterations, but it could be possible that these features achieve to better results when combined with ...allow features to be discarded ...
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Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
... In SegNet, Badrinarayanan et al. [122] used a similar approach and added batch normalisation with ReLU activation for each convolutional layer in the encoder and decoder. SegNet outperformed DeconvNet slightly; those ...
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Recursive Composition and Bootstrapping for SNARKs and Proof-Carrying Data
... single computation step of ...the computation required to perform one step of M to be small ...requires computation proportional to the corresponding state S i ...
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Does narrative drive dynamic attention to a prolonged stimulus?
... units for shuffling, the dual-task probe signals were posi- tioned midway between the start and end of the seg- ment. This meant that all visual properties of the film surrounding the probe position remained constant. ...
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Building Extraction from Very High Resolution Aerial Imagery Using Joint Attention Deep Neural Network
... the high-resolution, low-level features, and the low-resolution, high-level features is ...fuses features so as to compensate the loss of spatial information caused by ...
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Effects of new to market e store features on first time browsers
... of high investment by e-stores in web-based technologies to improve website design and retain existing customers whilst attracting new ones (Wang, Minot and Wei, 2011), a recent industry report suggests that the ...
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Title: A Survey on Face Matching and Retrieval of Images
... Dayong Wang et.al, 2011 [4] explained retrieval-based face annotation by weak label regularized local coordinate coding. This paper investigate the retrieval-based face annotation scheme by proposing a novel Weak Label ...
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