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Videocodingwithh.264.rar
... previous standards.
Compared to previous standards, the decoder complexity
is about four times that of MPEG-2 and two times that of
MPEG-4 Visual Simple Profile. This paper provides an overview
of the new tools, features and complexity of H.264/AVC.
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lightweightbackpropagationneuralnetwork.rar
... to need a simply neural network and do not want to use
* needlessly complex neural network libraries. It features multilayer
* feedforward perceptron neural networks, sigmoidal activation function
* with bias, backpropagation training with settable ...
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ASurveyOnTheH.264Standard.rar
This paper provides an overview of the technical features of H.264 and summarizes the emerging studies related to new coding features of the standard.
Key Words: H.264, AVC, video compression, inter mode decision, MCTF, SP/SI frames, HRD.
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1218.rar
比较各种图像融合算法的论文。Evaluation of various image fusion
techniques and imaging scales for
forest features interpretation
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fffff.zip
Please carefully read the many features of your package and then write the specific function (at least 20 words). As far as possible not to let the station master of the time spent in the
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LatticeLCD5.rar
Please carefully read the many features of your package and then write the specific function (at least 20 words). As far as possible not to let the station master of the time spent in the
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AVR_Camera.rar
... submitted for
the entry into the Circuit Cellar contest. I have continued to
develop the AVRcam, and have added several new features (such as
ignoring objects that aren t larger than a minimum size, removing
tracked objects that overlap with each, and ...
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PongMania.zip
一个经典的PONG游戏
FEATURES === === === ==
- fog effects
- colored lighting w/ specular highlighting
- reflections
- sound effects
- keyboard interactivity
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ProjectOZ.rar
... the CPU, MMU, and trap mechanisms (search: probert bruno SPACE). ProjectOZ
implements these abstractions using the native NTAPI of the Windows kernel,
including features specific to building user-mode operating system
personalities (aka NT subsystems).
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SIFTDescriptorPapers.rar
（1）ICCV1999 Object Recognition from Local Scale-Invariant Features.pdf提出（2）IJCV2004 Distinctive image features from scale invariant keypoints.pdf总结（3）CVPR2004 PCA-SIFT：A More Distinctive Representation for Local Image Descriptors.pdf加PCA降维
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